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documentation + neurokit2.complexity.entropy_grid — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_hierarchical.html b/_modules/neurokit2/complexity/entropy_hierarchical.html index 8350b504f0..359bafe776 100644 --- a/_modules/neurokit2/complexity/entropy_hierarchical.html +++ b/_modules/neurokit2/complexity/entropy_hierarchical.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_hierarchical — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_hierarchical — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_increment.html b/_modules/neurokit2/complexity/entropy_increment.html index d036188704..c83e4035aa 100644 --- a/_modules/neurokit2/complexity/entropy_increment.html +++ b/_modules/neurokit2/complexity/entropy_increment.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_increment — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_increment — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_kl.html b/_modules/neurokit2/complexity/entropy_kl.html index eba6b10644..8b10c9bc9e 100644 --- a/_modules/neurokit2/complexity/entropy_kl.html +++ b/_modules/neurokit2/complexity/entropy_kl.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_kl — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_kl — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_maximum.html b/_modules/neurokit2/complexity/entropy_maximum.html index 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--git a/_modules/neurokit2/complexity/entropy_ofentropy.html b/_modules/neurokit2/complexity/entropy_ofentropy.html index 7c8fe23962..c884da021b 100644 --- a/_modules/neurokit2/complexity/entropy_ofentropy.html +++ b/_modules/neurokit2/complexity/entropy_ofentropy.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_ofentropy — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_ofentropy — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_permutation.html b/_modules/neurokit2/complexity/entropy_permutation.html index fe196f9e08..afb7542b0c 100644 --- a/_modules/neurokit2/complexity/entropy_permutation.html +++ b/_modules/neurokit2/complexity/entropy_permutation.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_permutation — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_permutation — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_phase.html b/_modules/neurokit2/complexity/entropy_phase.html index dd8883ecf9..fdba68bdd4 100644 --- a/_modules/neurokit2/complexity/entropy_phase.html +++ b/_modules/neurokit2/complexity/entropy_phase.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_phase — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_phase — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_power.html b/_modules/neurokit2/complexity/entropy_power.html index b62f58cc6a..41f58e4c98 100644 --- a/_modules/neurokit2/complexity/entropy_power.html +++ b/_modules/neurokit2/complexity/entropy_power.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_power — NeuroKit2 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a/_modules/neurokit2/complexity/entropy_shannon.html b/_modules/neurokit2/complexity/entropy_shannon.html index fdc93a9c56..d2d107ac9a 100644 --- a/_modules/neurokit2/complexity/entropy_shannon.html +++ b/_modules/neurokit2/complexity/entropy_shannon.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_shannon — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_shannon — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_shannon_joint.html b/_modules/neurokit2/complexity/entropy_shannon_joint.html index 05ab8d504f..7141f5b322 100644 --- a/_modules/neurokit2/complexity/entropy_shannon_joint.html +++ b/_modules/neurokit2/complexity/entropy_shannon_joint.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_shannon_joint — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_shannon_joint — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_slope.html b/_modules/neurokit2/complexity/entropy_slope.html index d8e89329af..58165b957b 100644 --- a/_modules/neurokit2/complexity/entropy_slope.html +++ b/_modules/neurokit2/complexity/entropy_slope.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_slope — NeuroKit2 0.2.8 documentation + neurokit2.complexity.entropy_slope — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/entropy_spectral.html b/_modules/neurokit2/complexity/entropy_spectral.html index 7f088eb748..728ab882f5 100644 --- a/_modules/neurokit2/complexity/entropy_spectral.html +++ b/_modules/neurokit2/complexity/entropy_spectral.html @@ -7,7 +7,7 @@ - neurokit2.complexity.entropy_spectral — NeuroKit2 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b/_modules/neurokit2/complexity/fractal_correlation.html index a093e1a94e..f9b3be14c6 100644 --- a/_modules/neurokit2/complexity/fractal_correlation.html +++ b/_modules/neurokit2/complexity/fractal_correlation.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_correlation — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_correlation — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_density.html b/_modules/neurokit2/complexity/fractal_density.html index b8bcf6a772..329c9d8ff2 100644 --- a/_modules/neurokit2/complexity/fractal_density.html +++ b/_modules/neurokit2/complexity/fractal_density.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_density — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_density — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_dfa.html b/_modules/neurokit2/complexity/fractal_dfa.html index 9091d99faf..b0e16f5b96 100644 --- a/_modules/neurokit2/complexity/fractal_dfa.html +++ b/_modules/neurokit2/complexity/fractal_dfa.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_dfa — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_dfa — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_higuchi.html b/_modules/neurokit2/complexity/fractal_higuchi.html index dd08c9c3d1..c439d7873a 100644 --- a/_modules/neurokit2/complexity/fractal_higuchi.html +++ b/_modules/neurokit2/complexity/fractal_higuchi.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_higuchi — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_higuchi — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_hurst.html b/_modules/neurokit2/complexity/fractal_hurst.html index 0277002537..8875b1869a 100644 --- a/_modules/neurokit2/complexity/fractal_hurst.html +++ b/_modules/neurokit2/complexity/fractal_hurst.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_hurst — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_hurst — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_katz.html b/_modules/neurokit2/complexity/fractal_katz.html index ff4b2e9d35..26cde5194f 100644 --- a/_modules/neurokit2/complexity/fractal_katz.html +++ b/_modules/neurokit2/complexity/fractal_katz.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_katz — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_katz — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_linelength.html b/_modules/neurokit2/complexity/fractal_linelength.html index 8f6d8a5ecc..6cd8f229dc 100644 --- a/_modules/neurokit2/complexity/fractal_linelength.html +++ b/_modules/neurokit2/complexity/fractal_linelength.html @@ -7,7 +7,7 @@ - neurokit2.complexity.fractal_linelength — NeuroKit2 0.2.8 documentation + neurokit2.complexity.fractal_linelength — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/fractal_nld.html b/_modules/neurokit2/complexity/fractal_nld.html index 5d0e7b07bc..9cf4a11314 100644 --- a/_modules/neurokit2/complexity/fractal_nld.html +++ 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documentation + neurokit2.complexity.utils_fractal_mandelbrot — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/complexity/utils_recurrence_matrix.html b/_modules/neurokit2/complexity/utils_recurrence_matrix.html index 7df5f398f2..4d93941a30 100644 --- a/_modules/neurokit2/complexity/utils_recurrence_matrix.html +++ b/_modules/neurokit2/complexity/utils_recurrence_matrix.html @@ -7,7 +7,7 @@ - neurokit2.complexity.utils_recurrence_matrix — NeuroKit2 0.2.8 documentation + neurokit2.complexity.utils_recurrence_matrix — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/data/data.html b/_modules/neurokit2/data/data.html index ff59b0ea05..eaf87fc607 100644 --- a/_modules/neurokit2/data/data.html +++ 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- Home + diff --git a/_modules/neurokit2/eda/eda_phasic.html b/_modules/neurokit2/eda/eda_phasic.html index 56a9c14a1a..e5b1a70475 100644 --- a/_modules/neurokit2/eda/eda_phasic.html +++ b/_modules/neurokit2/eda/eda_phasic.html @@ -7,7 +7,7 @@ - neurokit2.eda.eda_phasic — NeuroKit2 0.2.8 documentation + neurokit2.eda.eda_phasic — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/eda/eda_plot.html b/_modules/neurokit2/eda/eda_plot.html index f31c6fa401..dfcbfb9fd9 100644 --- a/_modules/neurokit2/eda/eda_plot.html +++ b/_modules/neurokit2/eda/eda_plot.html @@ -7,7 +7,7 @@ - neurokit2.eda.eda_plot — NeuroKit2 0.2.8 documentation + neurokit2.eda.eda_plot — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git 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+ diff --git a/_modules/neurokit2/epochs/epochs_to_array.html b/_modules/neurokit2/epochs/epochs_to_array.html index 164dab5622..c1c8a3dbd8 100644 --- a/_modules/neurokit2/epochs/epochs_to_array.html +++ b/_modules/neurokit2/epochs/epochs_to_array.html @@ -7,7 +7,7 @@ - neurokit2.epochs.epochs_to_array — NeuroKit2 0.2.8 documentation + neurokit2.epochs.epochs_to_array — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/epochs/epochs_to_df.html b/_modules/neurokit2/epochs/epochs_to_df.html index 91aca3d54a..f3eee76bc9 100644 --- a/_modules/neurokit2/epochs/epochs_to_df.html +++ b/_modules/neurokit2/epochs/epochs_to_df.html @@ -7,7 +7,7 @@ - neurokit2.epochs.epochs_to_df — NeuroKit2 0.2.8 documentation + neurokit2.epochs.epochs_to_df — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + 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documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/events/events_plot.html b/_modules/neurokit2/events/events_plot.html index 34bd5f8208..0bfb111c65 100644 --- a/_modules/neurokit2/events/events_plot.html +++ b/_modules/neurokit2/events/events_plot.html @@ -7,7 +7,7 @@ - neurokit2.events.events_plot — NeuroKit2 0.2.8 documentation + neurokit2.events.events_plot — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/events/events_to_mne.html b/_modules/neurokit2/events/events_to_mne.html index 928bfeb0a2..2c86865c87 100644 --- a/_modules/neurokit2/events/events_to_mne.html +++ b/_modules/neurokit2/events/events_to_mne.html @@ -7,7 +7,7 @@ - neurokit2.events.events_to_mne — NeuroKit2 0.2.8 documentation + neurokit2.events.events_to_mne — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - 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- Home + diff --git a/_modules/neurokit2/hrv/hrv_nonlinear.html b/_modules/neurokit2/hrv/hrv_nonlinear.html index 77ab6dbc1c..be30c3832d 100644 --- a/_modules/neurokit2/hrv/hrv_nonlinear.html +++ b/_modules/neurokit2/hrv/hrv_nonlinear.html @@ -7,7 +7,7 @@ - neurokit2.hrv.hrv_nonlinear — NeuroKit2 0.2.8 documentation + neurokit2.hrv.hrv_nonlinear — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/hrv/hrv_rqa.html b/_modules/neurokit2/hrv/hrv_rqa.html index 3390e374d1..f04d4a42c5 100644 --- a/_modules/neurokit2/hrv/hrv_rqa.html +++ b/_modules/neurokit2/hrv/hrv_rqa.html @@ -7,7 +7,7 @@ - neurokit2.hrv.hrv_rqa — NeuroKit2 0.2.8 documentation + neurokit2.hrv.hrv_rqa — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git 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b/_modules/neurokit2/hrv/intervals_process.html index 264b06204c..17d1846fa1 100644 --- a/_modules/neurokit2/hrv/intervals_process.html +++ b/_modules/neurokit2/hrv/intervals_process.html @@ -7,7 +7,7 @@ - neurokit2.hrv.intervals_process — NeuroKit2 0.2.8 documentation + neurokit2.hrv.intervals_process — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/hrv/intervals_to_peaks.html b/_modules/neurokit2/hrv/intervals_to_peaks.html index 4bc3f0fa08..b5324ea8b2 100644 --- a/_modules/neurokit2/hrv/intervals_to_peaks.html +++ b/_modules/neurokit2/hrv/intervals_to_peaks.html @@ -7,7 +7,7 @@ - neurokit2.hrv.intervals_to_peaks — NeuroKit2 0.2.8 documentation + neurokit2.hrv.intervals_to_peaks — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git 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- Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/markov/markov_test_homogeneity.html b/_modules/neurokit2/markov/markov_test_homogeneity.html index 19616b73a0..99c9a9dd49 100644 --- a/_modules/neurokit2/markov/markov_test_homogeneity.html +++ b/_modules/neurokit2/markov/markov_test_homogeneity.html @@ -7,7 +7,7 @@ - neurokit2.markov.markov_test_homogeneity — NeuroKit2 0.2.8 documentation + neurokit2.markov.markov_test_homogeneity — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/markov/markov_test_random.html b/_modules/neurokit2/markov/markov_test_random.html index 149d236c53..841cda2a21 100644 --- a/_modules/neurokit2/markov/markov_test_random.html +++ b/_modules/neurokit2/markov/markov_test_random.html @@ -7,7 +7,7 @@ - neurokit2.markov.markov_test_random — NeuroKit2 0.2.8 documentation + 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b/_modules/neurokit2/misc/report.html index 962dca5bb6..7aa4169ff9 100644 --- a/_modules/neurokit2/misc/report.html +++ b/_modules/neurokit2/misc/report.html @@ -7,7 +7,7 @@ - neurokit2.misc.report — NeuroKit2 0.2.8 documentation + neurokit2.misc.report — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/misc/type_converters.html b/_modules/neurokit2/misc/type_converters.html index c04a728733..2d9c18c0c9 100644 --- a/_modules/neurokit2/misc/type_converters.html +++ b/_modules/neurokit2/misc/type_converters.html @@ -7,7 +7,7 @@ - neurokit2.misc.type_converters — NeuroKit2 0.2.8 documentation + neurokit2.misc.type_converters — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/ppg/ppg_analyze.html b/_modules/neurokit2/ppg/ppg_analyze.html index cd3bd1255f..96f96b1c13 100644 --- a/_modules/neurokit2/ppg/ppg_analyze.html +++ b/_modules/neurokit2/ppg/ppg_analyze.html @@ -7,7 +7,7 @@ - neurokit2.ppg.ppg_analyze — NeuroKit2 0.2.8 documentation + neurokit2.ppg.ppg_analyze — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/ppg/ppg_clean.html b/_modules/neurokit2/ppg/ppg_clean.html index 23c2e31a44..28473d8076 100644 --- a/_modules/neurokit2/ppg/ppg_clean.html +++ b/_modules/neurokit2/ppg/ppg_clean.html @@ -7,7 +7,7 @@ - neurokit2.ppg.ppg_clean — NeuroKit2 0.2.8 documentation + neurokit2.ppg.ppg_clean — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/ppg/ppg_eventrelated.html b/_modules/neurokit2/ppg/ppg_eventrelated.html index a374cee760..479ae97e62 100644 --- a/_modules/neurokit2/ppg/ppg_eventrelated.html +++ b/_modules/neurokit2/ppg/ppg_eventrelated.html @@ -7,7 +7,7 @@ - neurokit2.ppg.ppg_eventrelated — NeuroKit2 0.2.8 documentation + neurokit2.ppg.ppg_eventrelated — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/ppg/ppg_findpeaks.html b/_modules/neurokit2/ppg/ppg_findpeaks.html index dcbc92dbe2..86dd6f12de 100644 --- a/_modules/neurokit2/ppg/ppg_findpeaks.html +++ b/_modules/neurokit2/ppg/ppg_findpeaks.html @@ -7,7 +7,7 @@ - neurokit2.ppg.ppg_findpeaks — NeuroKit2 0.2.8 documentation + neurokit2.ppg.ppg_findpeaks — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git 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+ diff --git a/_modules/neurokit2/ppg/ppg_peaks.html b/_modules/neurokit2/ppg/ppg_peaks.html index 89b2fd9aa0..aa63d495db 100644 --- a/_modules/neurokit2/ppg/ppg_peaks.html +++ b/_modules/neurokit2/ppg/ppg_peaks.html @@ -7,7 +7,7 @@ - neurokit2.ppg.ppg_peaks — NeuroKit2 0.2.8 documentation + neurokit2.ppg.ppg_peaks — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/ppg/ppg_plot.html b/_modules/neurokit2/ppg/ppg_plot.html index 575e645ea4..3108e004ec 100644 --- a/_modules/neurokit2/ppg/ppg_plot.html +++ b/_modules/neurokit2/ppg/ppg_plot.html @@ -7,7 +7,7 @@ - neurokit2.ppg.ppg_plot — NeuroKit2 0.2.8 documentation + neurokit2.ppg.ppg_plot — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/ppg/ppg_process.html 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- Home + diff --git a/_modules/neurokit2/rsp/rsp_methods.html b/_modules/neurokit2/rsp/rsp_methods.html index e818812e5f..90373514ae 100644 --- a/_modules/neurokit2/rsp/rsp_methods.html +++ b/_modules/neurokit2/rsp/rsp_methods.html @@ -7,7 +7,7 @@ - neurokit2.rsp.rsp_methods — NeuroKit2 0.2.8 documentation + neurokit2.rsp.rsp_methods — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/rsp/rsp_peaks.html b/_modules/neurokit2/rsp/rsp_peaks.html index 5c596d8270..5446bb925c 100644 --- a/_modules/neurokit2/rsp/rsp_peaks.html +++ b/_modules/neurokit2/rsp/rsp_peaks.html @@ -7,7 +7,7 @@ - neurokit2.rsp.rsp_peaks — NeuroKit2 0.2.8 documentation + neurokit2.rsp.rsp_peaks — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git 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- Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_filter.html b/_modules/neurokit2/signal/signal_filter.html index 111a61cbbe..1beb3f2e69 100644 --- a/_modules/neurokit2/signal/signal_filter.html +++ b/_modules/neurokit2/signal/signal_filter.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_filter — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_filter — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_findpeaks.html b/_modules/neurokit2/signal/signal_findpeaks.html index f8c56599b1..8df83f60bf 100644 --- a/_modules/neurokit2/signal/signal_findpeaks.html +++ b/_modules/neurokit2/signal/signal_findpeaks.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_findpeaks — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_findpeaks — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ 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NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_formatpeaks.html b/_modules/neurokit2/signal/signal_formatpeaks.html index 1baa936b2b..3569f6d1dd 100644 --- a/_modules/neurokit2/signal/signal_formatpeaks.html +++ b/_modules/neurokit2/signal/signal_formatpeaks.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_formatpeaks — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_formatpeaks — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_interpolate.html b/_modules/neurokit2/signal/signal_interpolate.html index a8e52f61b2..00eedc8f0b 100644 --- a/_modules/neurokit2/signal/signal_interpolate.html +++ b/_modules/neurokit2/signal/signal_interpolate.html @@ -7,7 +7,7 @@ - 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b/_modules/neurokit2/signal/signal_noise.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_noise — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_noise — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_period.html b/_modules/neurokit2/signal/signal_period.html index db6c7fd518..92ee495536 100644 --- a/_modules/neurokit2/signal/signal_period.html +++ b/_modules/neurokit2/signal/signal_period.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_period — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_period — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_phase.html b/_modules/neurokit2/signal/signal_phase.html index 20158fbf7c..ad92186970 100644 --- a/_modules/neurokit2/signal/signal_phase.html +++ b/_modules/neurokit2/signal/signal_phase.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_phase — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_phase — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_plot.html b/_modules/neurokit2/signal/signal_plot.html index 5001a6699e..735e7afdc0 100644 --- a/_modules/neurokit2/signal/signal_plot.html +++ b/_modules/neurokit2/signal/signal_plot.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_plot — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_plot — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_power.html b/_modules/neurokit2/signal/signal_power.html index d8cb517de0..a8d6cdb76e 100644 --- a/_modules/neurokit2/signal/signal_power.html +++ b/_modules/neurokit2/signal/signal_power.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_power — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_power — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_psd.html b/_modules/neurokit2/signal/signal_psd.html index c7c1a2153f..bb18bfef50 100644 --- a/_modules/neurokit2/signal/signal_psd.html +++ b/_modules/neurokit2/signal/signal_psd.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_psd — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_psd — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_rate.html b/_modules/neurokit2/signal/signal_rate.html index 01b7058578..8050004726 100644 --- a/_modules/neurokit2/signal/signal_rate.html +++ b/_modules/neurokit2/signal/signal_rate.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_rate — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_rate — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_recompose.html b/_modules/neurokit2/signal/signal_recompose.html index 0c793c6a48..1e01b28f4d 100644 --- a/_modules/neurokit2/signal/signal_recompose.html +++ b/_modules/neurokit2/signal/signal_recompose.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_recompose — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_recompose — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_resample.html b/_modules/neurokit2/signal/signal_resample.html index ee12cc0f35..8772c73be3 100644 --- a/_modules/neurokit2/signal/signal_resample.html +++ b/_modules/neurokit2/signal/signal_resample.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_resample — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_resample — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_sanitize.html b/_modules/neurokit2/signal/signal_sanitize.html index 2251f92b95..3d21410484 100644 --- a/_modules/neurokit2/signal/signal_sanitize.html +++ b/_modules/neurokit2/signal/signal_sanitize.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_sanitize — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_sanitize — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_simulate.html b/_modules/neurokit2/signal/signal_simulate.html index db8705b4bc..7b8a7252e2 100644 --- a/_modules/neurokit2/signal/signal_simulate.html +++ b/_modules/neurokit2/signal/signal_simulate.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_simulate — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_simulate — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_smooth.html b/_modules/neurokit2/signal/signal_smooth.html index 518209e07a..3372a62cba 100644 --- a/_modules/neurokit2/signal/signal_smooth.html +++ b/_modules/neurokit2/signal/signal_smooth.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_smooth — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_smooth — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_surrogate.html b/_modules/neurokit2/signal/signal_surrogate.html index ff480c5465..17aa5f7ff4 100644 --- a/_modules/neurokit2/signal/signal_surrogate.html +++ b/_modules/neurokit2/signal/signal_surrogate.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_surrogate — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_surrogate — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_synchrony.html b/_modules/neurokit2/signal/signal_synchrony.html index fefbb27efa..70fab8acd7 100644 --- a/_modules/neurokit2/signal/signal_synchrony.html +++ b/_modules/neurokit2/signal/signal_synchrony.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_synchrony — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_synchrony — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_timefrequency.html b/_modules/neurokit2/signal/signal_timefrequency.html index fd6c8cb2ae..600efb94cb 100644 --- a/_modules/neurokit2/signal/signal_timefrequency.html +++ b/_modules/neurokit2/signal/signal_timefrequency.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_timefrequency — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_timefrequency — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/signal/signal_zerocrossings.html b/_modules/neurokit2/signal/signal_zerocrossings.html index 2d621e3b8f..9fd27acdb5 100644 --- a/_modules/neurokit2/signal/signal_zerocrossings.html +++ b/_modules/neurokit2/signal/signal_zerocrossings.html @@ -7,7 +7,7 @@ - neurokit2.signal.signal_zerocrossings — NeuroKit2 0.2.8 documentation + neurokit2.signal.signal_zerocrossings — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/cluster.html b/_modules/neurokit2/stats/cluster.html index 14b8fbd714..1c20a5eb0d 100644 --- a/_modules/neurokit2/stats/cluster.html +++ b/_modules/neurokit2/stats/cluster.html @@ -7,7 +7,7 @@ - neurokit2.stats.cluster — NeuroKit2 0.2.8 documentation + neurokit2.stats.cluster — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/cluster_findnumber.html b/_modules/neurokit2/stats/cluster_findnumber.html index ed54db5e46..179fd5cd46 100644 --- a/_modules/neurokit2/stats/cluster_findnumber.html +++ b/_modules/neurokit2/stats/cluster_findnumber.html @@ -7,7 +7,7 @@ - neurokit2.stats.cluster_findnumber — NeuroKit2 0.2.8 documentation + neurokit2.stats.cluster_findnumber — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/cluster_quality.html b/_modules/neurokit2/stats/cluster_quality.html index b6e934cb8f..8f1d333604 100644 --- a/_modules/neurokit2/stats/cluster_quality.html +++ b/_modules/neurokit2/stats/cluster_quality.html @@ -7,7 +7,7 @@ - neurokit2.stats.cluster_quality — NeuroKit2 0.2.8 documentation + neurokit2.stats.cluster_quality — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/correlation.html b/_modules/neurokit2/stats/correlation.html index 398803f4ce..45daf5f4e4 100644 --- a/_modules/neurokit2/stats/correlation.html +++ b/_modules/neurokit2/stats/correlation.html @@ -7,7 +7,7 @@ - neurokit2.stats.correlation — NeuroKit2 0.2.8 documentation + neurokit2.stats.correlation — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/density.html b/_modules/neurokit2/stats/density.html index ab7860e865..af743d226e 100644 --- a/_modules/neurokit2/stats/density.html +++ b/_modules/neurokit2/stats/density.html @@ -7,7 +7,7 @@ - neurokit2.stats.density — NeuroKit2 0.2.8 documentation + neurokit2.stats.density — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/density_bandwidth.html b/_modules/neurokit2/stats/density_bandwidth.html index 4a8f45d9a1..98ad6cd9f5 100644 --- a/_modules/neurokit2/stats/density_bandwidth.html +++ b/_modules/neurokit2/stats/density_bandwidth.html @@ -7,7 +7,7 @@ - neurokit2.stats.density_bandwidth — NeuroKit2 0.2.8 documentation + neurokit2.stats.density_bandwidth — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/distance.html b/_modules/neurokit2/stats/distance.html index e06281833d..c833e504b2 100644 --- a/_modules/neurokit2/stats/distance.html +++ b/_modules/neurokit2/stats/distance.html @@ -7,7 +7,7 @@ - neurokit2.stats.distance — NeuroKit2 0.2.8 documentation + neurokit2.stats.distance — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/fit_error.html b/_modules/neurokit2/stats/fit_error.html index b04199a38c..bf6eb84c78 100644 --- a/_modules/neurokit2/stats/fit_error.html +++ b/_modules/neurokit2/stats/fit_error.html @@ -7,7 +7,7 @@ - neurokit2.stats.fit_error — NeuroKit2 0.2.8 documentation + neurokit2.stats.fit_error — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/fit_loess.html b/_modules/neurokit2/stats/fit_loess.html index 71a968a1c4..af2e4c60d4 100644 --- a/_modules/neurokit2/stats/fit_loess.html +++ b/_modules/neurokit2/stats/fit_loess.html @@ -7,7 +7,7 @@ - neurokit2.stats.fit_loess — NeuroKit2 0.2.8 documentation + neurokit2.stats.fit_loess — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/fit_mixture.html b/_modules/neurokit2/stats/fit_mixture.html index 5cd544dddd..bacc5b63f4 100644 --- a/_modules/neurokit2/stats/fit_mixture.html +++ b/_modules/neurokit2/stats/fit_mixture.html @@ -7,7 +7,7 @@ - neurokit2.stats.fit_mixture — NeuroKit2 0.2.8 documentation + neurokit2.stats.fit_mixture — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/fit_polynomial.html b/_modules/neurokit2/stats/fit_polynomial.html index 2c868b8125..f202aa11ac 100644 --- a/_modules/neurokit2/stats/fit_polynomial.html +++ b/_modules/neurokit2/stats/fit_polynomial.html @@ -7,7 +7,7 @@ - neurokit2.stats.fit_polynomial — NeuroKit2 0.2.8 documentation + neurokit2.stats.fit_polynomial — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/hdi.html b/_modules/neurokit2/stats/hdi.html index 12115f3f6f..83ca03b97b 100644 --- a/_modules/neurokit2/stats/hdi.html +++ b/_modules/neurokit2/stats/hdi.html @@ -7,7 +7,7 @@ - neurokit2.stats.hdi — NeuroKit2 0.2.8 documentation + neurokit2.stats.hdi — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/mad.html b/_modules/neurokit2/stats/mad.html index 3ec082840f..13cbb62f35 100644 --- a/_modules/neurokit2/stats/mad.html +++ b/_modules/neurokit2/stats/mad.html @@ -7,7 +7,7 @@ - neurokit2.stats.mad — NeuroKit2 0.2.8 documentation + neurokit2.stats.mad — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/rescale.html b/_modules/neurokit2/stats/rescale.html index da26b62fd1..aabad84654 100644 --- a/_modules/neurokit2/stats/rescale.html +++ b/_modules/neurokit2/stats/rescale.html @@ -7,7 +7,7 @@ - neurokit2.stats.rescale — NeuroKit2 0.2.8 documentation + neurokit2.stats.rescale — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/standardize.html b/_modules/neurokit2/stats/standardize.html index 02b965e182..f14d3aa750 100644 --- a/_modules/neurokit2/stats/standardize.html +++ b/_modules/neurokit2/stats/standardize.html @@ -7,7 +7,7 @@ - neurokit2.stats.standardize — NeuroKit2 0.2.8 documentation + neurokit2.stats.standardize — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/stats/summary.html b/_modules/neurokit2/stats/summary.html index c2d68a10da..4449045668 100644 --- a/_modules/neurokit2/stats/summary.html +++ b/_modules/neurokit2/stats/summary.html @@ -7,7 +7,7 @@ - neurokit2.stats.summary — NeuroKit2 0.2.8 documentation + neurokit2.stats.summary — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/video/video_face.html b/_modules/neurokit2/video/video_face.html index 3752764f61..9754a6c54d 100644 --- a/_modules/neurokit2/video/video_face.html +++ b/_modules/neurokit2/video/video_face.html @@ -7,7 +7,7 @@ - neurokit2.video.video_face — NeuroKit2 0.2.8 documentation + neurokit2.video.video_face — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/video/video_plot.html b/_modules/neurokit2/video/video_plot.html index 4ef024881c..ba722a3792 100644 --- a/_modules/neurokit2/video/video_plot.html +++ b/_modules/neurokit2/video/video_plot.html @@ -7,7 +7,7 @@ - neurokit2.video.video_plot — NeuroKit2 0.2.8 documentation + neurokit2.video.video_plot — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/video/video_ppg.html b/_modules/neurokit2/video/video_ppg.html index 7b41109144..39508354d0 100644 --- a/_modules/neurokit2/video/video_ppg.html +++ b/_modules/neurokit2/video/video_ppg.html @@ -7,7 +7,7 @@ - neurokit2.video.video_ppg — NeuroKit2 0.2.8 documentation + neurokit2.video.video_ppg — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_modules/neurokit2/video/video_skin.html b/_modules/neurokit2/video/video_skin.html index dd39e469f0..3b157b6a8a 100644 --- a/_modules/neurokit2/video/video_skin.html +++ b/_modules/neurokit2/video/video_skin.html @@ -7,7 +7,7 @@ - neurokit2.video.video_skin — NeuroKit2 0.2.8 documentation + neurokit2.video.video_skin — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/_static/documentation_options.js b/_static/documentation_options.js index 57fdb40bab..4c55f4cfd8 100644 --- a/_static/documentation_options.js +++ b/_static/documentation_options.js @@ -1,5 +1,5 @@ const DOCUMENTATION_OPTIONS = { - VERSION: '0.2.8', + VERSION: '0.2.9', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/authors.html b/authors.html index 7a92ae6713..a715e64b46 100644 --- a/authors.html +++ b/authors.html @@ -8,7 +8,7 @@ - Authors — NeuroKit2 0.2.8 documentation + Authors — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/cite_us.html b/cite_us.html index ef250efd8a..d4943c5e15 100644 --- a/cite_us.html +++ b/cite_us.html @@ -8,7 +8,7 @@ - Cite us — NeuroKit2 0.2.8 documentation + Cite us — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/examples/bio_custom/bio_custom.html b/examples/bio_custom/bio_custom.html index 68ae2e003c..afc3bea1f7 100644 --- a/examples/bio_custom/bio_custom.html +++ b/examples/bio_custom/bio_custom.html @@ -8,7 +8,7 @@ - Customize your Processing Pipeline — NeuroKit2 0.2.8 documentation + Customize your Processing Pipeline — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -466,6 +466,11 @@

Customize your Processing Pipeline +
Matplotlib is building the font cache; this may take a moment.
+
+
+
@@ -487,7 +492,7 @@

The Default NeuroKit processing pipeline -../../_images/0584e9fe94325eadd86dde31ca458f6cb647a40203c8d5573fc980ef7abf8b6b.png +../../_images/7b9269574db30462e7f50703bdc87f6374e440fd50bbd897d2d6ac5f9d302d26.png @@ -535,7 +540,7 @@

Building your own -../../_images/bd7aa677e0e76fb8ec883675d4809eb67e85a444259d5d1cab9374ee6935307c.png +../../_images/3e08eda0dd4b08fe594ddc65cb04decc6dc3bfa74e0800c96a6932f7484a4435.png @@ -627,7 +632,7 @@

Customize even more!
-../../_images/73ca91a47523b9a83b072121c6195133371fd0c8f4754fd2437ae66cc5f4c1fe.png +../../_images/79409d9dfb5776bef90263ef9d103288ef2e3f97a4c504f0c8307dfb082264db.png

This doesn’t look bad :) Can you do better?

diff --git a/examples/bio_eventrelated/bio_eventrelated.html b/examples/bio_eventrelated/bio_eventrelated.html index 6e3be10831..18ba908283 100644 --- a/examples/bio_eventrelated/bio_eventrelated.html +++ b/examples/bio_eventrelated/bio_eventrelated.html @@ -8,7 +8,7 @@ - Event-related Analysis — NeuroKit2 0.2.8 documentation + Event-related Analysis — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -527,7 +527,7 @@

Find Events -../../_images/e3981a5acf102616637fffeb18187a827fdd2b3e111719956768c284436e1f1a.png +../../_images/f46646609b436254793a6ac3a882051416e1c706f522313bbc517b52f081ee94.png

The output of events_plot() shows the corresponding events in the signal, with the blue dashed line representing a Negative event and red dashed line representing a Neutral event.

@@ -638,11 +638,11 @@

Manually Extract Event Related Features -
C:\Users\runneradmin\AppData\Local\Temp\ipykernel_2812\4246861920.py:12: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
+
C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1892\4246861920.py:12: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
   ecg_mean = epoch["ECG_Rate"][0:4].mean()  # Mean heart rate in the 0-4 seconds
-C:\Users\runneradmin\AppData\Local\Temp\ipykernel_2812\4246861920.py:18: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
+C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1892\4246861920.py:18: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
   rsp_rate = epoch["RSP_Rate"][0:6].mean()  # Longer window for RSP that has a slower dynamic
-C:\Users\runneradmin\AppData\Local\Temp\ipykernel_2812\4246861920.py:24: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
+C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1892\4246861920.py:24: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
   scr_max = epoch["SCR_Amplitude"][0:6].max()  # Maximum SCR peak
 

 

diff --git a/examples/bio_intervalrelated/bio_intervalrelated.html b/examples/bio_intervalrelated/bio_intervalrelated.html
index f89e3d9bb3..065138e044 100644
--- a/examples/bio_intervalrelated/bio_intervalrelated.html
+++ b/examples/bio_intervalrelated/bio_intervalrelated.html
@@ -8,7 +8,7 @@
     
     
 
-    Interval-related Analysis — NeuroKit2 0.2.8 documentation
+    Interval-related Analysis — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+
diff --git a/examples/ecg_delineate/ecg_delineate.html b/examples/ecg_delineate/ecg_delineate.html index 19d530a07b..0840bd949b 100644 --- a/examples/ecg_delineate/ecg_delineate.html +++ b/examples/ecg_delineate/ecg_delineate.html @@ -8,7 +8,7 @@ - Locate P, Q, S and T waves in ECG — NeuroKit2 0.2.8 documentation + Locate P, Q, S and T waves in ECG — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home +
diff --git a/examples/ecg_edr/ecg_edr.html b/examples/ecg_edr/ecg_edr.html index e69972e26b..86d86e67c7 100644 --- a/examples/ecg_edr/ecg_edr.html +++ b/examples/ecg_edr/ecg_edr.html @@ -8,7 +8,7 @@ - ECG-Derived Respiration (EDR) — NeuroKit2 0.2.8 documentation + ECG-Derived Respiration (EDR) — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/examples/ecg_generate_12leads/ecg_generate_12leads.html b/examples/ecg_generate_12leads/ecg_generate_12leads.html index df07125c19..cf085492c8 100644 --- a/examples/ecg_generate_12leads/ecg_generate_12leads.html +++ b/examples/ecg_generate_12leads/ecg_generate_12leads.html @@ -8,7 +8,7 @@ - Generating Abnormal 12-leads ECG — NeuroKit2 0.2.8 documentation + Generating Abnormal 12-leads ECG — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -478,7 +478,7 @@

Normal Multi-lead ECG
-../../_images/787cebcbc915b5a410f44deea6e6067ca60abd5a2c72734894a24cf49d22ab0f.png +../../_images/98b271f2f5be2c3bd935f1ef135f7d9b962ab6191031239f6cb6b8ec5eb8e52c.png
@@ -510,7 +510,7 @@

Abnormal Multi-lead ECG
-../../_images/1bc070858ad53d8d35c008ab1f17be890a94c5aa0c1773424319b6144b18224e.png +../../_images/49db199c09c5071320427c3e085a76302a9ea8a98fd70c59a9a4603865d9ce8b.png
diff --git a/examples/ecg_heartbeats/ecg_heartbeats.html b/examples/ecg_heartbeats/ecg_heartbeats.html index b3c468d094..91698568f8 100644 --- a/examples/ecg_heartbeats/ecg_heartbeats.html +++ b/examples/ecg_heartbeats/ecg_heartbeats.html @@ -8,7 +8,7 @@ - Extract and Visualize Individual Heartbeats — NeuroKit2 0.2.8 documentation + Extract and Visualize Individual Heartbeats — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -517,7 +517,7 @@

Extract R-peaks location -../../_images/f0d1642417f6c64397ee90cd4195165633e9333a6e10cc64bbe7a98d2f9fec5c.png +../../_images/64b99d385cba34234b05cdf1b2e81fb13ad21b0fcf60b64b2c2c86c32cb29892.png

Once that we know where the R-peaks are located, we can create windows of signal around them (of a length of for instance 1 second, ranging from 400 ms before the R-peak), which we can refer to as epochs.

@@ -533,7 +533,7 @@

Segment the signal around the heart beats -../../_images/b27c12bc1d277e9fbcc7c283141711cfbacbf4d8ec91b16f4541dc286cfec549.png +../../_images/5ea08ef72488df86c580b0af111c08eb138ea4b3992f64d215813254094d49fb.png

This create a dictionary of dataframes for each ‘epoch’ (in this case, each heart beat).

@@ -589,36 +589,36 @@

Custom colors and legend -../../_images/c4700993d108931e8c561b99a796ed897a35c61df88e8393a9594981c4467f2f.png +../../_images/b6b391a06f89530849c9dcdea714edcf10dba0bc46cdb3207882b68b3f37c737.png diff --git a/examples/ecg_hrv/ecg_hrv.html b/examples/ecg_hrv/ecg_hrv.html index 280713f2ac..8023e8454d 100644 --- a/examples/ecg_hrv/ecg_hrv.html +++ b/examples/ecg_hrv/ecg_hrv.html @@ -8,7 +8,7 @@ - Heart Rate Variability (HRV) — NeuroKit2 0.2.8 documentation + Heart Rate Variability (HRV) — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/examples/eda_peaks/eda_peaks.html b/examples/eda_peaks/eda_peaks.html index 854ded84f2..ced3196928 100644 --- a/examples/eda_peaks/eda_peaks.html +++ b/examples/eda_peaks/eda_peaks.html @@ -8,7 +8,7 @@ - Analyze Electrodermal Activity (EDA) — NeuroKit2 0.2.8 documentation + Analyze Electrodermal Activity (EDA) — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -511,7 +511,7 @@

Locate Skin Conductance Response (SCR) features -../../_images/45cce6a63b3a12d90815d0db66a76577126ba61a5568393e44a51eba3a7b56b2.png +../../_images/77539acb9a8db8e5c8a438a4bdbd1ac5f34beb9bc61a7f02e27eabe32f744161.png @@ -540,7 +540,7 @@

Decompose EDA into Phasic and Tonic components
<Axes: >
-../../_images/c0ae759a34f9841505941686f46ea0221edb1cec96d6107bfe30a2e2db6b5ecb.png +../../_images/f773f5ef2eb0011f7008b3af3f23e8615fb705ae5e7873af2313ae1160f9f95c.png @@ -559,7 +559,7 @@

Quick Plot +../../_images/ca8e1b8495c475fe9b799671a7a65e8141b34e7dd4d40543a1451f4db4929207.png diff --git a/examples/eeg_complexity/eeg_complexity.html b/examples/eeg_complexity/eeg_complexity.html index 3436ba5f2d..66f08f7699 100644 --- a/examples/eeg_complexity/eeg_complexity.html +++ b/examples/eeg_complexity/eeg_complexity.html @@ -8,7 +8,7 @@ - EEG Complexity Analysis — NeuroKit2 0.2.8 documentation + EEG Complexity Analysis — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -768,9 +768,9 @@

Compute complexity indices per epoch -
C:\Users\runneradmin\AppData\Local\Temp\ipykernel_5940\1026332364.py:11: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+
C:\Users\runneradmin\AppData\Local\Temp\ipykernel_5168\1026332364.py:11: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   df.groupby(["condition", "epoch"], as_index=False).apply(get_sdvden),
-C:\Users\runneradmin\AppData\Local\Temp\ipykernel_5940\1026332364.py:12: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+C:\Users\runneradmin\AppData\Local\Temp\ipykernel_5168\1026332364.py:12: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   df.groupby(["condition", "epoch"], as_index=False).apply(get_hjorth)
 

 

diff --git a/examples/eeg_microstates/eeg_microstates.html b/examples/eeg_microstates/eeg_microstates.html
index 1a525863c1..e2c5818965 100644
--- a/examples/eeg_microstates/eeg_microstates.html
+++ b/examples/eeg_microstates/eeg_microstates.html
@@ -8,7 +8,7 @@
     
     
 
-    EEG Microstates — NeuroKit2 0.2.8 documentation
+    EEG Microstates — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+
@@ -522,7 +522,7 @@

Minimal Example -../../_images/a48f197c6f0f9a748fa8d40b3c57db3d55cf7c959f91d0dfa480167f952d0851.png +../../_images/c204136b11ba34720dc61a39e8b36408ade2e5cac9a21dae031f48719d9d2b5d.png

This shows the aspect of the microstates and their sequence in the Global Field Power (GFP; see below). We can then proceed to a statistical analysis.

@@ -574,28 +574,28 @@

Minimal Example +../../_images/941a642301818a273d1d695d0c707e84202aae56eaa66a1757693ecf377b584d.png

This shows computes static statistics, such as the prevalence of each microstates and the median duration time (also shown in the graph).

@@ -645,26 +645,26 @@

Minimal Example +../../_images/5c2d39de42b79b7f2bd654b4c6625e889e0b5ba4854fc729712dbb023ea80330.png

Finally, one can compute complexity features of the sequence of microstates, such as the entropy.

@@ -699,11 +699,11 @@

Minimal Example +../../_images/f3cf2c1341f245acc48a79c11a106330a7645f42d8426e047d175478d88bc106.png @@ -740,7 +740,7 @@

Global Field Power (GFP)
-../../_images/8012e61d07eb876f93aa157887338fbf43fc0e6e20a21ad8201afce615e005b5.png +../../_images/7d99b63192e7a76ff184a323cef6985c1b8c85ecde28f3d6ac07c4768b845996.png
@@ -775,6 +775,9 @@

How many microstates?
[████████████████████████████............] 5/7
+

+
+
[██████████████████████████████████......] 6/7
@@ -784,10 +787,10 @@

How many microstates?
-
Optimal number of microstates:  5.0
+
Optimal number of microstates:  4.0
 

 

-../../_images/9f3e584f255d2b51c1194f306c77e4a6eb3f1946e7aa65f3b4b355b6c4b31a9d.png
+../../_images/f57b503946631eabbf4a1349a1205e4eb9ad52050a6080128853b35f468bf652.png
@@ -814,12 +817,12 @@

Microstates clustering algorithms -
 Using conventional Kmeans,  GEV = 61.31%
- Using modified Kmeans,  GEV = 72.25%
+
 Using conventional Kmeans,  GEV = 61.36%
+ Using modified Kmeans,  GEV = 72.06%
 

 

-../../_images/7987c65926609d440707250b4e66538c69575c170d57ef2b16446245774ad5eb.png
-../../_images/4522af82f9066bd64fb07d04c713b9f580522ac697b0f4fd4c2071239abde1bd.png
+../../_images/0c75f29cadeb737e6866c1e64f7a7d2c7ae197e36de5a2879a64d70ad596111c.png
+../../_images/53acdf2dc62cddca17c5ba44f721c04f8391a744c9fbb9a2a91f06650e752d14.png
diff --git a/examples/eeg_power/eeg_power.html b/examples/eeg_power/eeg_power.html index bf737206e5..5f61e92323 100644 --- a/examples/eeg_power/eeg_power.html +++ b/examples/eeg_power/eeg_power.html @@ -8,7 +8,7 @@ - EEG Power in Frequency Bands — NeuroKit2 0.2.8 documentation + EEG Power in Frequency Bands — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -567,7 +567,7 @@

Frontal Alpha Asymmetry (FAA)
Subtracting Evoked from Epochs
-
    The following channels are not included in the subtraction: STI 006, STI 004, STI 014, STI 016, STI 015, STI 002, STI 005, STI 003, STI 001, EOG 061
+
    The following channels are not included in the subtraction: STI 005, STI 004, STI 002, EOG 061, STI 016, STI 014, STI 006, STI 001, STI 003, STI 015
 

 

 
[done]
diff --git a/examples/eog_analyze/eog_analyze.html b/examples/eog_analyze/eog_analyze.html
index 82084acd95..cb37d6f294 100644
--- a/examples/eog_analyze/eog_analyze.html
+++ b/examples/eog_analyze/eog_analyze.html
@@ -8,7 +8,7 @@
     
     
 
-    Analyze Electrooculography (EOG) — NeuroKit2 0.2.8 documentation
+    Analyze Electrooculography (EOG) — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+    
   
   
 

@@ -559,7 +559,7 @@ 
Detect and visualize eye blinks
-
[<matplotlib.lines.Line2D at 0x140121e2290>]
+
[<matplotlib.lines.Line2D at 0x17b16f92290>]
 

 

 ../../_images/f47ec5b8ccead46709b540e919a596b1e3b52f7c0f8495726c90a007f8276043.png
diff --git a/examples/index.html b/examples/index.html
index bf460113f7..77cf62ef9e 100644
--- a/examples/index.html
+++ b/examples/index.html
@@ -8,7 +8,7 @@
     
     
 
-    Examples — NeuroKit2 0.2.8 documentation
+    Examples — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+    
   
   
 

diff --git a/examples/misc_epochs_create/misc_epochs_create.html b/examples/misc_epochs_create/misc_epochs_create.html
index a17c6e3ad5..9a6e3884d8 100644
--- a/examples/misc_epochs_create/misc_epochs_create.html
+++ b/examples/misc_epochs_create/misc_epochs_create.html
@@ -8,7 +8,7 @@
     
     
 
-    Create epochs — NeuroKit2 0.2.8 documentation
+    Create epochs — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+    
   
   
 

diff --git a/examples/misc_fit_function/misc_fit_function.html b/examples/misc_fit_function/misc_fit_function.html
index aa56c66ecf..cdb874e482 100644
--- a/examples/misc_fit_function/misc_fit_function.html
+++ b/examples/misc_fit_function/misc_fit_function.html
@@ -8,7 +8,7 @@
     
     
 
-    Fit a function to a non-linear pattern — NeuroKit2 0.2.8 documentation
+    Fit a function to a non-linear pattern — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+    
   
   
 

@@ -482,7 +482,7 @@ 
Fit a linear function
-../../_images/005bb2ecaf24c3de63e525e03a66d12ae25b789fd3d5a94f51783d4fdb69c1b9.png +../../_images/a45845c31aa3ac9bf5e198994cf65395be0709016d7b4519eabe7b45bb1eb322.png

In this case we know that the best fitting line will be a linear function (i.e., a straight line), and we want to find its parameters. A linear function has two parameters, the intercept and the slope.

@@ -505,7 +505,7 @@

Fit a linear function
-
array([4.65604618, 2.58824521])
+
array([7.31557945, 2.26773507])
@@ -522,7 +522,7 @@

Fit a linear function

-../../_images/11704ef46442bd4525725c721eee9650d2eb217c95a12b167cff330813577b0a.png +../../_images/6c335feaf340156943bff2d028417f6332927065c5f5264d7a0624b83875a49b.png
@@ -537,7 +537,7 @@

Non-linear curves -../../_images/229b3fa6166519e48a2b10dba3f6a264a92eeeb7eedfa402d58bd0c093e6d373.png +../../_images/0e1b6e814bca7048ccc3d97adf6120d19ae85625373aa85b004b33def8797c44.png

In this example, we will try to approximate this Skin Conductance Response (SCR) using a gamma distribution, which is quite a flexible distribution defined by 3 parameters (a, loc and scale).

@@ -575,7 +575,7 @@

Non-linear curves -
array([0.94655919, 2.29105313, 1.10652715, 1.32259473, 1.92868083])
+
array([0.94792616, 2.29392912, 1.09069556, 1.20238098, 1.958364  ])
@@ -591,7 +591,7 @@

Non-linear curves -../../_images/9d11712299541c48cc52ffa2a89b47ba2c86c0b9c7f01ceeceabd141caad0722.png +../../_images/463d4f26a798cebbc24e5b7e57ed2975261ed36adfcd5eaf7730bf77a6375a5a.png

diff --git a/examples/ppg_report/ppg_report.html b/examples/ppg_report/ppg_report.html index 5676f97ae0..4862830ecd 100644 --- a/examples/ppg_report/ppg_report.html +++ b/examples/ppg_report/ppg_report.html @@ -8,7 +8,7 @@ - Save Preprocessing Reports — NeuroKit2 0.2.8 documentation + Save Preprocessing Reports — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/examples/rsp_rrv/rsp_rrv.html b/examples/rsp_rrv/rsp_rrv.html index 19d9a05be9..5993a6a0db 100644 --- a/examples/rsp_rrv/rsp_rrv.html +++ b/examples/rsp_rrv/rsp_rrv.html @@ -8,7 +8,7 @@ - Respiratory Rate Variability (RRV) — NeuroKit2 0.2.8 documentation + Respiratory Rate Variability (RRV) — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/examples/signal_simulation/signal_simulation.html b/examples/signal_simulation/signal_simulation.html index 4670c849d2..d1cd610f7e 100644 --- a/examples/signal_simulation/signal_simulation.html +++ b/examples/signal_simulation/signal_simulation.html @@ -8,7 +8,7 @@ - Simulate Artificial Physiological Signals — NeuroKit2 0.2.8 documentation + Simulate Artificial Physiological Signals — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -487,7 +487,7 @@

Cardiac Activity (ECG)
-../../_images/b4ae0f2a29d862c455c5abe4c21f37a823bcbc39a2676a9325d119ca5724f9aa.png +../../_images/37301e5aff5d924c2e6e68de6778571998024d884e7b11459456a73c68908b32.png

You can also choose to generate the default, simple simulation based on Daubechies wavelets, which roughly approximates one cardiac cycle, or a more complex one by specifiying method="ecgsyn".

@@ -504,7 +504,7 @@

Cardiac Activity (ECG)
-../../_images/189c2175b3105d97c90903c928acac7928fa7bc4a20890ebb6264e36f898012d.png +../../_images/081683c0fb7c0abb5635d4901a28f98a7abf9c2183c533765ccb41d3854ee467.png
@@ -527,7 +527,7 @@

Respiration (RSP) -../../_images/8266d86dac7ee23fe56ec36dbf659175e200529324d4c2b12b61e1900c4237b8.png +../../_images/bc37f2cc08349780707b14116080a518616ff20b5faf038c39980720e1264070.png @@ -550,7 +550,7 @@

Electromyography (EMG)
-../../_images/639292493389f8b63aa042e054f14bb44dd79cba3d8eca83baeb11412070601a.png +../../_images/6b58375e68726335abb4d1bd0b0e0fb04438ca97848032993cdb819755596057.png
@@ -573,7 +573,7 @@

Electrodermal Activity (EDA) -../../_images/398b83a43c90d7123a5452b8de63297fb8ecfed8327b744c434db737fd6acc1f.png +../../_images/5576eaa2619a217d4c747ef55f879cb87eefc5e8c507100537a5e0e0857def32.png diff --git a/functions/benchmark.html b/functions/benchmark.html index 2ad4ae1231..70fc50d4d0 100644 --- a/functions/benchmark.html +++ b/functions/benchmark.html @@ -8,7 +8,7 @@ - Benchmarking Functions — NeuroKit2 0.2.8 documentation + Benchmarking Functions — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -495,7 +495,7 @@

benchmark_ecg()In [5]: nk.benchmark_ecg_preprocessing(function, ecg, true_rpeaks, sampling_rate=200) Out[5]: Sampling_Rate Duration Score Recording_Length Error -0 200 0.03128 0.018986 0.333333 None +0 200 0.015651 0.019309 0.333333 None # Example using database (commented-out) # nk.benchmark_ecg_preprocessing(function, r"path/to/GUDB_database") diff --git a/functions/bio.html b/functions/bio.html index 6136ef6c80..feabb1a193 100644 --- a/functions/bio.html +++ b/functions/bio.html @@ -8,7 +8,7 @@ - Bio-related Functions — NeuroKit2 0.2.8 documentation + Bio-related Functions — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -541,11 +541,11 @@

bio_process()In [7]: bio_df.head() Out[7]: ECG_Raw ECG_Clean ECG_Rate ... EMG_Offsets RSA_P2T RSA_Gates -0 1.082495 -0.074407 69.998963 ... 0 8.0 7.906503 -1 1.028872 -0.199971 69.998963 ... 0 8.0 7.906503 -2 0.889847 -0.338673 69.998963 ... 0 8.0 7.906503 -3 0.691951 -0.495154 69.998963 ... 0 8.0 7.906503 -4 0.463497 -0.666323 69.998963 ... 0 8.0 7.906503 +0 1.079311 -0.070335 70.071629 ... 0 0.0 7.917765 +1 1.027234 -0.192163 70.071629 ... 0 0.0 7.917765 +2 0.892263 -0.326660 70.071629 ... 0 0.0 7.917765 +3 0.700291 -0.478258 70.071629 ... 0 0.0 7.917765 +4 0.478934 -0.643905 70.071629 ... 0 0.0 7.917765 [5 rows x 49 columns] diff --git a/functions/complexity.html b/functions/complexity.html index 9138219a21..ba572bfe3c 100644 --- a/functions/complexity.html +++ b/functions/complexity.html @@ -8,7 +8,7 @@ - Complexity, Fractals, and Entropy — NeuroKit2 0.2.8 documentation + Complexity, Fractals, and Entropy — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -139,8 +139,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -1447,7 +1447,7 @@

complexity_k()savefig/p_complexity_k1.png 
In [4]: k_max
-Out[4]: 20
+Out[4]: 21

References

@@ -1532,7 +1532,7 @@

fractal_katz()In [11]: KFD, _ = nk.fractal_katz(random) In [12]: KFD -Out[12]: 2.089787429073431 +Out[12]: 1.8483207629478253 In [13]: KFD, _ = nk.fractal_katz(simple) @@ -1542,7 +1542,7 @@

fractal_katz()In [15]: KFD, _ = nk.fractal_katz(complex) In [16]: KFD -Out[16]: 3.713154196594061 +Out[16]: 3.7576581962646585

References

@@ -1799,7 +1799,7 @@

fractal_nld()In [9]: nld = [nk.fractal_nld(i, corrected=False)[0] for i in windows] In [10]: np.mean(nld) # Get average -Out[10]: 0.6049706354399638 +Out[10]: 0.5906459722483755

Example 3: Calculate FD-NLD on sliding windows

@@ -1876,7 +1876,7 @@

fractal_psdslope() savefig/p_fractal_psdslope1.png 
In [4]: psdslope
-Out[4]: 2.65409114572996
+Out[4]: 2.6567502110826533

References

@@ -1940,7 +1940,7 @@

fractal_higuchi()savefig/p_fractal_higuchi1.png savefig/p_fractal_higuchi2.png 
In [5]: hfd
-Out[5]: 1.9350193624601635
+Out[5]: 1.9222266579704952

References

@@ -2025,7 +2025,7 @@

fractal_density()In [11]: D = info1["Average"] - info2["Average"] In [12]: plt.imshow(nk.standardize(D), cmap='RdBu') -Out[12]: <matplotlib.image.AxesImage at 0x1c5e5c780a0> +Out[12]: <matplotlib.image.AxesImage at 0x1d68445e1a0> savefig/p_fractal_density3.png @@ -2286,7 +2286,7 @@

fractal_dfa()savefig/p_fractal_dfa1.png 
In [4]: dfa
-Out[4]: 0.6503596151922272
+Out[4]: 0.651742129902883

As we can see from the plot, the final value, corresponding to the slope of the red line, @@ -2306,7 +2306,7 @@

fractal_dfa()
In [8]: mfdfa
 Out[8]: 
       Width      Peak      Mean  ...  Asymmetry  Fluctuation  Increment
-0  0.809962  0.774232  0.877131  ...  -0.372958     0.000242   0.039181
+0  0.824564  0.776171  0.885462  ...  -0.367456     0.000254   0.040589
 
 [1 rows x 8 columns]
@@ -2397,10 +2397,10 @@

fractal_tmf()savefig/p_fractal_tmf.png 
In [4]: tMF  # t-value
-Out[4]: -1.9170450725024781
+Out[4]: 9.897459307055236
 
 In [5]: info["p"]  # p-value
-Out[5]: 0.058115349461403114
+Out[5]: 1.831085540173224e-16

References

@@ -2490,7 +2490,7 @@

entropy_shannon() savefig/p_entropy_shannon1.png 
In [7]: shanen
-Out[7]: 1.5660814951214348
+Out[7]: 1.550556988158903

Compare with scipy (using the same base).

@@ -2500,12 +2500,12 @@

entropy_shannon()In [9]: binned = pd.cut(signal, bins=3, labels=False) In [10]: scipy.stats.entropy(pd.Series(binned).value_counts()) -Out[10]: 1.0855249728705265 +Out[10]: 1.074764204639864 In [11]: shanen, info = nk.entropy_shannon(binned, base=np.e) In [12]: shanen -Out[12]: 1.0855249728705263 +Out[12]: 1.074764204639864

References

@@ -2600,7 +2600,7 @@

entropy_differential()In [3]: diffen, info = nk.entropy_differential(signal) In [4]: diffen -Out[4]: 0.532113156589747 +Out[4]: 0.5062887378340116

References

@@ -2653,11 +2653,11 @@

entropy_power()In [4]: powen, info = nk.entropy_power(signal) In [5]: powen -Out[5]: 0.05855907732221659 +Out[5]: 0.05855923491033008 # Visualize the distribution that the entropy power is based on In [6]: plt.plot(info["Values"], info["Density"]) -Out[6]: [<matplotlib.lines.Line2D at 0x1c5e969df90>] +Out[6]: [<matplotlib.lines.Line2D at 0x1d68791f010>] savefig/entropy_power2.png @@ -2665,7 +2665,7 @@

entropy_power()
In [7]: powen, info = nk.entropy_power(signal, bandwidth=0.01)
 
 In [8]: powen
-Out[8]: 0.05855882855817936
+Out[8]: 0.05855887492887552

References

@@ -3240,7 +3240,7 @@

entropy_kl()In [3]: klen, info = nk.entropy_kl(signal, delay=1, dimension=3) In [4]: klen -Out[4]: 1.8809367301291862 +Out[4]: 1.6547747163670192

References

@@ -3304,7 +3304,7 @@

entropy_spectral() savefig/p_entropy_spectral1.png 
In [4]: SpEn
-Out[4]: 0.5919035494930858
+Out[4]: 0.6073331329853188

Bin the frequency spectrum.

@@ -3372,7 +3372,7 @@

entropy_phase()savefig/p_entropy_phase1.png 
In [4]: phasen
-Out[4]: 1.163819936728997
+Out[4]: 1.157014358224489
 
In [5]: phasen, info = nk.entropy_phase(signal, k=8, show=True)
@@ -3437,14 +3437,14 @@ 
entropy_grid()savefig/p_entropy_grid1.png
 
In [4]: phasen
-Out[4]: 1.9438812984990275
+Out[4]: 2.0898672800621236
 
 In [5]: phasen, info = nk.entropy_grid(signal, k=10, show=True)
 

 

 savefig/p_entropy_grid2.png
 
In [6]: info["GDR"]
-Out[6]: 0.5
+Out[6]: 0.47
 

 

 
References

@@ -3510,7 +3510,7 @@ 
entropy_attention()
 savefig/p_entropy_attention1.png
 
In [4]: atten
-Out[4]: 1.1496092877962951
+Out[4]: 1.1191996792092147
 

 

 
References

@@ -3578,7 +3578,7 @@ 
entropy_increment()In [3]: incren, _ = nk.entropy_increment(signal, dimension=3, q=2)
 
 In [4]: incren
-Out[4]: 2.8247357528493784
+Out[4]: 2.7482546623637343
 
 # Multiscale IncrEn (MSIncrEn)
 In [5]: msincren, _ = nk.entropy_multiscale(signal, method="MSIncrEn", show=True)
@@ -3645,12 +3645,12 @@ 
entropy_slope()In [3]: slopen, info = nk.entropy_slope(signal, dimension=3, thresholds=[0.1, 45])
 
 In [4]: slopen
-Out[4]: 3.8068226555662035
+Out[4]: 3.7781834936063943
 
 In [5]: slopen, info = nk.entropy_slope(signal, dimension=3, thresholds=[5, 45, 60, 90])
 
 In [6]: slopen
-Out[6]: 5.083912338645803
+Out[6]: 4.956607325796196
 
 # Compute Multiscale Slope Entropy (MSSlopEn)
 In [7]: msslopen, info = nk.entropy_multiscale(signal, method="MSSlopEn", show=True)
@@ -3710,12 +3710,12 @@ 
entropy_symbolicdynamic()In [4]: sydyen, info = nk.entropy_symbolicdynamic(signal, c=3, symbolize="MEP")
 
 In [5]: sydyen
-Out[5]: 3.696958323079432
+Out[5]: 3.722227620128053
 
 In [6]: sydyen, info = nk.entropy_symbolicdynamic(signal, c=3, symbolize="kmeans")
 
 In [7]: sydyen
-Out[7]: 3.5812453416693986
+Out[7]: 3.5109751898524624
 
 # Compute Multiscale Symbolic Dynamic Entropy (MSSyDyEn)
 In [8]: mssydyen, info = nk.entropy_multiscale(signal, method="MSSyDyEn", show=True)
@@ -3786,17 +3786,17 @@ 
entropy_dispersion()In [3]: dispen, info = nk.entropy_dispersion(signal, c=3)
 
 In [4]: dispen
-Out[4]: 1.4186596238223168
+Out[4]: 1.424885542892185
 
 # Get Reverse Dispersion Entropy (RDEn)
 In [5]: info["RDEn"]
-Out[5]: 0.004636149436785783
+Out[5]: 0.003036539481326229
 
 # Fluctuation-based DispEn with "finesort"
 In [6]: dispen, info = nk.entropy_dispersion(signal, c=3, symbolize="finesort", fluctuation=True)
 
 In [7]: dispen
-Out[7]: 1.4186596238223166
+Out[7]: 1.4248855428921854

References

@@ -3850,7 +3850,7 @@

entropy_ofentropy()In [3]: enofen, _ = nk.entropy_ofentropy(signal, scale=10, bins=10) In [4]: enofen -Out[4]: 3.881286772251355 +Out[4]: 4.025070520364182

References

@@ -3921,31 +3921,31 @@

entropy_permutation()In [2]: pen, info = nk.entropy_permutation(signal, corrected=False) In [3]: pen -Out[3]: 2.5736470017841957 +Out[3]: 2.571120821934299 # Weighted Permutation Entropy (WPEn) In [4]: wpen, info = nk.entropy_permutation(signal, weighted=True) In [5]: wpen -Out[5]: 0.9940323738339379 +Out[5]: 0.9967752856480929 # Conditional Permutation Entropy (CPEn) In [6]: cpen, info = nk.entropy_permutation(signal, conditional=True) In [7]: cpen -Out[7]: 0.4263236577168432 +Out[7]: 0.4230471210978615 # Conditional Weighted Permutation Entropy (CWPEn) In [8]: cwpen, info = nk.entropy_permutation(signal, weighted=True, conditional=True) In [9]: cwpen -Out[9]: 0.41023674006744665 +Out[9]: 0.42363634071543643 # Conditional Renyi Permutation Entropy (CRPEn) In [10]: crpen, info = nk.entropy_permutation(signal, conditional=True, algorithm=nk.entropy_renyi, alpha=2) In [11]: crpen -Out[11]: 0.2890724815483388 +Out[11]: 0.2848384657821734

References

@@ -4517,7 +4517,7 @@

fishershannon_information()In [3]: fsi, info = nk.fishershannon_information(signal, method=0.01) In [4]: fsi -Out[4]: 0.0003095516983473 +Out[4]: 0.0002749965711369081

References

@@ -4843,13 +4843,13 @@

complexity_lempelziv()In [3]: lzc, info = nk.complexity_lempelziv(signal) In [4]: lzc -Out[4]: 0.9940434618240934 +Out[4]: 1.1020916641962775 # PLZC In [5]: plzc, info = nk.complexity_lempelziv(signal, delay=1, dimension=3, permutation=True) In [6]: plzc -Out[6]: 0.7051573072286799 +Out[6]: 0.6799731176847983 
# MSLZC
@@ -5001,7 +5001,7 @@ 
complexity_lyapunov()In [3]: lle, info = nk.complexity_lyapunov(signal, method="rosenstein", show=True)
 
 In [4]: lle
-Out[4]: 0.06864464153143891
+Out[4]: 0.06775930647797059
 
 # Makowski's change-point method
 In [5]: lle, info = nk.complexity_lyapunov(signal, method="makowski", show=True)
@@ -5104,7 +5104,7 @@ 
complexity_rqa()
In [4]: results
 Out[4]: 
    RecurrenceRate   DiagRec  Determinism  ...         W  WMax       WEn
-0        0.215049 -0.048373     0.842408  ...  9.445383   393  2.950033
+0        0.210589 -0.054645     0.840797  ...  9.528429   299  3.001651
 
 [1 rows x 14 columns]
 
@@ -5174,7 +5174,7 @@ 
fractal_mandelbrot()In [5]: m = nk.fractal_mandelbrot(real_range=(-2, 0.75), imaginary_range=(-1.25, 1.25))
 
 In [6]: plt.imshow(m.T, cmap="viridis")
-Out[6]: <matplotlib.image.AxesImage at 0x1c5e590f010>
+Out[6]: <matplotlib.image.AxesImage at 0x1d68809c9d0>
 
 In [7]: plt.axis("off")
 Out[7]: (-0.5, 908.5, 999.5, -0.5)
@@ -5187,7 +5187,7 @@ 
fractal_mandelbrot()   ...: 
 
 In [9]: plt.imshow(b.T, cmap="gray")
-Out[9]: <matplotlib.image.AxesImage at 0x1c5ed1ece50>
+Out[9]: <matplotlib.image.AxesImage at 0x1d688467220>
 
 In [10]: plt.axis("off")
 Out[10]: (-0.5, 1363.5, 1499.5, -0.5)
@@ -5202,7 +5202,7 @@ 
fractal_mandelbrot()In [13]: mixed = m - b
 
 In [14]: plt.imshow(mixed.T, cmap="gray")
-Out[14]: <matplotlib.image.AxesImage at 0x1c5e6bf0970>
+Out[14]: <matplotlib.image.AxesImage at 0x1d688083970>
 
 In [15]: plt.axis("off")
 Out[15]: (-0.5, 999.5, 999.5, -0.5)
diff --git a/functions/data.html b/functions/data.html
index b00dc164b9..cebb0bf66c 100644
--- a/functions/data.html
+++ b/functions/data.html
@@ -8,7 +8,7 @@
     
     
 
-    Data — NeuroKit2 0.2.8 documentation
+    Data — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+    
   
   
 

diff --git a/functions/ecg.html b/functions/ecg.html
index fe94efcf42..023af063e6 100644
--- a/functions/ecg.html
+++ b/functions/ecg.html
@@ -8,7 +8,7 @@
     
     
 
-    ECG — NeuroKit2 0.2.8 documentation
+    ECG — NeuroKit2 0.2.9 documentation
   
   
   
@@ -38,7 +38,7 @@
 
   
 
-    
+    
     
     
     
@@ -138,8 +138,8 @@
       
     
     
-    NeuroKit2 0.2.8 documentation - Home
-    
+    NeuroKit2 0.2.9 documentation - Home
+
@@ -1483,32 +1483,32 @@

ecg_phase()In [6]: _, ax = plt.subplots(nrows=2) In [7]: ax[0].plot(nk.rescale(ecg), label="ECG", color="red", alpha=0.3) -Out[7]: [<matplotlib.lines.Line2D at 0x1c5e4c057b0>] +Out[7]: [<matplotlib.lines.Line2D at 0x1d6848c2c20>] In [8]: ax[0].plot(cardiac_phase["ECG_Phase_Atrial"], label="Atrial Phase", color="orange") -Out[8]: [<matplotlib.lines.Line2D at 0x1c5e4d31b40>] +Out[8]: [<matplotlib.lines.Line2D at 0x1d6848c2bf0>] In [9]: ax[0].plot(cardiac_phase["ECG_Phase_Completion_Atrial"], ...: label="Atrial Phase Completion", linestyle="dotted") ...: -Out[9]: [<matplotlib.lines.Line2D at 0x1c5e4d329b0>] +Out[9]: [<matplotlib.lines.Line2D at 0x1d6848c0df0>] In [10]: ax[0].legend(loc="upper right") -Out[10]: <matplotlib.legend.Legend at 0x1c5e4bdb6d0> +Out[10]: <matplotlib.legend.Legend at 0x1d68583b610> In [11]: ax[1].plot(nk.rescale(ecg), label="ECG", color="red", alpha=0.3) -Out[11]: [<matplotlib.lines.Line2D at 0x1c5e4d332e0>] +Out[11]: [<matplotlib.lines.Line2D at 0x1d680dd6260>] In [12]: ax[1].plot(cardiac_phase["ECG_Phase_Ventricular"], label="Ventricular Phase", color="green") -Out[12]: [<matplotlib.lines.Line2D at 0x1c5e4d30340>] +Out[12]: [<matplotlib.lines.Line2D at 0x1d680dd55d0>] In [13]: ax[1].plot(cardiac_phase["ECG_Phase_Completion_Ventricular"], ....: label="Ventricular Phase Completion", linestyle="dotted") ....: -Out[13]: [<matplotlib.lines.Line2D at 0x1c5e4d328f0>] +Out[13]: [<matplotlib.lines.Line2D at 0x1d680dd4760>] In [14]: ax[1].legend(loc="upper right") -Out[14]: <matplotlib.legend.Legend at 0x1c5e4beac80> +Out[14]: <matplotlib.legend.Legend at 0x1d685838be0>

savefig/p_ecg_phase.png @@ -1709,9 +1709,9 @@

ecg_eventrelated()In [5]: nk.ecg_eventrelated(epochs) Out[5]: Label Event_Onset ... ECG_Phase_Completion_Ventricular ECG_Quality_Mean -1 1 5000 ... 0.746862 0.972237 -2 2 10000 ... 0.466119 0.950088 -3 3 15000 ... 0.151515 0.985835 +1 1 5000 ... 0.702259 0.961803 +2 2 10000 ... 0.398000 0.970098 +3 3 15000 ... 0.135802 0.944879 [3 rows x 17 columns] diff --git a/functions/eda.html b/functions/eda.html index fe8bb8fc3e..601d1ba2af 100644 --- a/functions/eda.html +++ b/functions/eda.html @@ -8,7 +8,7 @@ - EDA — NeuroKit2 0.2.8 documentation + EDA — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -1129,8 +1129,8 @@

eda_eventrelated()In [5]: nk.eda_eventrelated(epochs) Out[5]: Label Event_Onset ... SCR_RiseTime SCR_RecoveryTime -1 1 5000 ... 0.358 1172.0 -2 2 10000 ... 0.366 1001.0 +1 1 5000 ... 0.363 1143.0 +2 2 10000 ... 0.363 1517.0 3 3 15000 ... NaN NaN [3 rows x 8 columns] @@ -1340,7 +1340,7 @@

eda_autocor()In [4]: cor = nk.eda_autocor(eda_cleaned) In [5]: cor -Out[5]: -0.0848720367907292 +Out[5]: -0.1699827554959762

References

@@ -1392,7 +1392,7 @@

eda_changepoints()In [3]: eda_cleaned = nk.eda_clean(eda_signal, sampling_rate=100) In [4]: nk.eda_changepoints(eda_cleaned, penalty = 100, show=True) -Out[4]: 11 +Out[4]: 9 savefig/p_eda_changepoints1.png diff --git a/functions/eeg.html b/functions/eeg.html index 65277ccf7d..c4993b6f39 100644 --- a/functions/eeg.html +++ b/functions/eeg.html @@ -8,7 +8,7 @@ - EEG — NeuroKit2 0.2.8 documentation + EEG — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/emg.html b/functions/emg.html index 192311eded..e62fbf4ece 100644 --- a/functions/emg.html +++ b/functions/emg.html @@ -8,7 +8,7 @@ - EMG — NeuroKit2 0.2.8 documentation + EMG — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -606,9 +606,9 @@

emg_analyze()In [7]: analyze_epochs Out[7]: Label Event_Onset ... EMG_Amplitude_Max_Time EMG_Bursts -1 1 3000 ... 1.733917 1.0 +1 1 3000 ... 1.757929 1.0 2 2 6000 ... NaN NaN -3 3 9000 ... 0.782441 1.0 +3 3 9000 ... 0.676388 1.0 [3 rows x 8 columns] @@ -618,7 +618,7 @@

emg_analyze()In [9]: analyze_df Out[9]: EMG_Activation_N EMG_Amplitude_Mean -0 3.0 0.243251 +0 3.0 0.245518 @@ -966,9 +966,9 @@

emg_eventrelated()In [5]: nk.emg_eventrelated(epochs) Out[5]: Label Event_Onset ... EMG_Amplitude_Max_Time EMG_Bursts -1 1 3000 ... 1.505803 1.0 +1 1 3000 ... 1.307704 1.0 2 2 6000 ... NaN NaN -3 3 9000 ... 1.439770 1.0 +3 3 9000 ... 0.625363 1.0 [3 rows x 8 columns] @@ -1011,15 +1011,15 @@

emg_intervalrelated()In [4]: nk.emg_intervalrelated(emg_signals) Out[4]: EMG_Activation_N EMG_Amplitude_Mean -0 3.0 0.23871 +0 3.0 0.246326 In [5]: epochs = nk.epochs_create(emg_signals, events=[0, 20000], sampling_rate=1000, epochs_end=20) In [6]: nk.emg_intervalrelated(epochs) Out[6]: Label EMG_Activation_N EMG_Amplitude_Mean -1 1 2 0.251409 -2 2 1 0.226133 +1 1 2 0.245593 +2 2 1 0.247055 diff --git a/functions/eog.html b/functions/eog.html index 8cd38036f4..78d3d0fec6 100644 --- a/functions/eog.html +++ b/functions/eog.html @@ -8,7 +8,7 @@ - EOG — NeuroKit2 0.2.8 documentation + EOG — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/epochs.html b/functions/epochs.html index 5c1f72aea7..4e238e2a74 100644 --- a/functions/epochs.html +++ b/functions/epochs.html @@ -8,7 +8,7 @@ - Epochs — NeuroKit2 0.2.8 documentation + Epochs — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/events.html b/functions/events.html index aa4500ba85..be64cdf044 100644 --- a/functions/events.html +++ b/functions/events.html @@ -8,7 +8,7 @@ - Events — NeuroKit2 0.2.8 documentation + Events — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/hrv.html b/functions/hrv.html index 65f083f88f..fd1359eb7e 100644 --- a/functions/hrv.html +++ b/functions/hrv.html @@ -8,7 +8,7 @@ - HRV — NeuroKit2 0.2.8 documentation + HRV — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/index.html b/functions/index.html index 69fe033f7e..1bdbe526f9 100644 --- a/functions/index.html +++ b/functions/index.html @@ -8,7 +8,7 @@ - Functions — NeuroKit2 0.2.8 documentation + Functions — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/markov.html b/functions/markov.html index 6d645b471b..b3596b284f 100644 --- a/functions/markov.html +++ b/functions/markov.html @@ -8,7 +8,7 @@ - Markov Chains — NeuroKit2 0.2.8 documentation + Markov Chains — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -599,7 +599,7 @@

markov_simulate()In [4]: x = nk.markov_simulate(tm, n=15) In [5]: x -Out[5]: array([3, 2, 2, 2, 1, 0, 1, 0, 0, 3, 2, 2, 2, 2, 2]) +Out[5]: array([3, 0, 0, 0, 1, 2, 1, 2, 2, 1, 0, 0, 3, 1, 0]) diff --git a/functions/microstates.html b/functions/microstates.html index 5dedee2431..64c37f98f7 100644 --- a/functions/microstates.html +++ b/functions/microstates.html @@ -8,7 +8,7 @@ - M/EEG Microstates — NeuroKit2 0.2.8 documentation + M/EEG Microstates — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/functions/misc.html b/functions/misc.html index 18630ed665..12ee23a224 100644 --- a/functions/misc.html +++ b/functions/misc.html @@ -8,7 +8,7 @@ - Misc — NeuroKit2 0.2.8 documentation + Misc — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -785,7 +785,7 @@

find_plateau()In [5]: plateau = nk.find_plateau(y, show=True) In [6]: plateau -Out[6]: 36 +Out[6]: 31 savefig/p_find_plateau1.png @@ -817,7 +817,7 @@

find_knee()In [3]: y += np.random.normal(0, 0.2, len(y)) In [4]: nk.find_knee(y, show=True) -Out[4]: 21 +Out[4]: 20

References

@@ -1099,7 +1099,7 @@

as_vector()In [2]: import matplotlib.pyplot as plt In [3]: plt.plot([1, 2, 3, 4, 5]) # Make plot -Out[3]: [<matplotlib.lines.Line2D at 0x1c5e4c3ca60>] +Out[3]: [<matplotlib.lines.Line2D at 0x1d685090d00>] In [4]: fig = plt.gcf() # Get current figure diff --git a/functions/ppg.html b/functions/ppg.html index 2d34e2a6df..458116438a 100644 --- a/functions/ppg.html +++ b/functions/ppg.html @@ -8,7 +8,7 @@ - PPG — NeuroKit2 0.2.8 documentation + PPG — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -611,9 +611,9 @@

ppg_analyze()In [6]: analyze_epochs Out[6]: Label Event_Onset ... PPG_Rate_Trend_Quadratic PPG_Rate_Trend_R2 -1 1 5000 ... -0.089330 0.992999 -2 2 10000 ... -1.196503 0.841941 -3 3 15000 ... -0.418167 0.743738 +1 1 5000 ... -0.797136 0.900890 +2 2 10000 ... -2.094703 0.970885 +3 3 15000 ... -1.359211 0.882318 [3 rows x 12 columns] @@ -858,8 +858,8 @@

ppg_peaks()In [6]: info["PPG_Peaks"] Out[6]: -array([ 49, 89, 132, 174, 221, 263, 306, 352, 404, 441, 475, 516, 571, - 631, 668, 707, 743, 776, 814, 851, 887, 925, 964]) +array([ 45, 87, 133, 175, 215, 264, 305, 350, 394, 446, 520, 576, 634, + 671, 708, 742, 779, 813, 852, 887, 927, 963]) # Method by Bishop et al., (2018) In [7]: peaks, info = nk.ppg_peaks(ppg, sampling_rate=100, method="bishop", show=True) @@ -943,9 +943,9 @@

ppg_eventrelated()In [4]: nk.ppg_eventrelated(epochs) Out[4]: Label Event_Onset ... PPG_Rate_Trend_Quadratic PPG_Rate_Trend_R2 -1 1 5000 ... -0.559415 0.933506 -2 2 10000 ... 1.197236 0.944286 -3 3 15000 ... 1.073562 0.973651 +1 1 5000 ... -0.761809 0.887379 +2 2 10000 ... 0.492673 0.986730 +3 3 15000 ... -0.464755 0.722780 [3 rows x 12 columns] diff --git a/functions/rsp.html b/functions/rsp.html index cfe19f0bf4..84aa0a4fa9 100644 --- a/functions/rsp.html +++ b/functions/rsp.html @@ -8,7 +8,7 @@ - RSP — NeuroKit2 0.2.8 documentation + RSP — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -604,7 +604,7 @@

rsp_process()| RSP_Rate_Mean | RSP_Rate_SD | |----------------:|--------------:| -| 15.0367 | 1.81538 | +| 14.6234 | 1.19132 | References - Harrison, S. J., Bianchi, S., Heinzle, J., Stephan, K. E., Iglesias, S., & Kasper, L. (2021). @@ -1351,8 +1351,8 @@

rsp_rrv()In [4]: nk.rsp_rrv(rsp, show=True) Out[4]: - RRV_RMSSD RRV_MeanBB RRV_SDBB ... RRV_SD2SD1 RRV_ApEn RRV_SampEn -0 582.746763 3995.95 453.589714 ... 1.140552 0.091859 inf + RRV_RMSSD RRV_MeanBB RRV_SDBB ... RRV_SD2SD1 RRV_ApEn RRV_SampEn +0 1106.902458 3984.85 743.401802 ... 0.842468 0.091859 inf [1 rows x 20 columns] @@ -1496,9 +1496,9 @@

rsp_eventrelated()In [4]: nk.rsp_eventrelated(epochs) Out[4]: Label Event_Onset ... RSP_RVT_Baseline RSP_RVT_Mean -1 1 5000 ... 0.214207 0.016260 -2 2 10000 ... 0.156761 -0.049247 -3 3 15000 ... 0.199272 0.020586 +1 1 5000 ... 0.157515 0.007823 +2 2 10000 ... 0.243738 -0.049482 +3 3 15000 ... 0.224054 -0.003862 [3 rows x 22 columns] @@ -1702,7 +1702,7 @@

rsp_intervalrelated()In [7]: rav Out[7]: RAV_Mean RAV_SD RAV_RMSSD RAV_CVSD -0 0.942954 0.072689 0.074159 0.078645 +0 0.942826 0.096978 0.110566 0.117271 diff --git a/functions/signal.html b/functions/signal.html index 96f57acaa1..67abdf7503 100644 --- a/functions/signal.html +++ b/functions/signal.html @@ -8,7 +8,7 @@ - Signal Processing — NeuroKit2 0.2.8 documentation + Signal Processing — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -1346,7 +1346,7 @@

signal_interpolate()# Add original data points In [8]: plt.scatter(x_values, signal, label="original datapoints", zorder=3) -Out[8]: <matplotlib.collections.PathCollection at 0x1c58d311330> +Out[8]: <matplotlib.collections.PathCollection at 0x1d696e01a50> savefig/p_signal_interpolate1.png @@ -1464,19 +1464,19 @@

signal_noise()In [13]: psd_brown = nk.signal_psd(brown, sampling_rate=200, method="fft") In [14]: plt.loglog(psd_violet["Frequency"], psd_violet["Power"], c="violet") -Out[14]: [<matplotlib.lines.Line2D at 0x1c5e9e5c5b0>] +Out[14]: [<matplotlib.lines.Line2D at 0x1d68753ad70>] In [15]: plt.loglog(psd_blue["Frequency"], psd_blue["Power"], c="blue") -Out[15]: [<matplotlib.lines.Line2D at 0x1c5e51045b0>] +Out[15]: [<matplotlib.lines.Line2D at 0x1d6983c2380>] In [16]: plt.loglog(psd_white["Frequency"], psd_white["Power"], c="grey") -Out[16]: [<matplotlib.lines.Line2D at 0x1c5e5104b20>] +Out[16]: [<matplotlib.lines.Line2D at 0x1d6983c28f0>] In [17]: plt.loglog(psd_pink["Frequency"], psd_pink["Power"], c="pink") -Out[17]: [<matplotlib.lines.Line2D at 0x1c5e5104fa0>] +Out[17]: [<matplotlib.lines.Line2D at 0x1d6983c2d10>] In [18]: plt.loglog(psd_brown["Frequency"], psd_brown["Power"], c="brown") -Out[18]: [<matplotlib.lines.Line2D at 0x1c5e5105390>] +Out[18]: [<matplotlib.lines.Line2D at 0x1d6983c31f0>] savefig/p_signal_noise2.png @@ -1524,32 +1524,32 @@

signal_surrogate()In [5]: surrogate_random = nk.signal_surrogate(signal, method = "random") In [6]: plt.plot(surrogate_random, label = "Random Surrogate") -Out[6]: [<matplotlib.lines.Line2D at 0x1c5e5107be0>] +Out[6]: [<matplotlib.lines.Line2D at 0x1d6983fb340>] In [7]: plt.plot(surrogate_iaaft, label = "IAAFT Surrogate") -Out[7]: [<matplotlib.lines.Line2D at 0x1c5e5107010>] +Out[7]: [<matplotlib.lines.Line2D at 0x1d6983fba30>] In [8]: plt.plot(signal, label = "Original") -Out[8]: [<matplotlib.lines.Line2D at 0x1c5e512f0a0>] +Out[8]: [<matplotlib.lines.Line2D at 0x1d69853f3a0>] In [9]: plt.legend() -Out[9]: <matplotlib.legend.Legend at 0x1c5e5107970> +Out[9]: <matplotlib.legend.Legend at 0x1d6983fb310> savefig/p_signal_surrogate1.png

As we can see, the signal pattern is destroyed by random surrogates, but not in the IAAFT one. And their distributions are identical:

In [10]: plt.plot(*nk.density(signal), label = "Original")
-Out[10]: [<matplotlib.lines.Line2D at 0x1c5ed158e20>]
+Out[10]: [<matplotlib.lines.Line2D at 0x1d698589ff0>]
 
 In [11]: plt.plot(*nk.density(surrogate_iaaft), label = "IAAFT Surrogate")
-Out[11]: [<matplotlib.lines.Line2D at 0x1c5ed159360>]
+Out[11]: [<matplotlib.lines.Line2D at 0x1d69858a4d0>]
 
 In [12]: plt.plot(*nk.density(surrogate_random), label = "Random Surrogate")
-Out[12]: [<matplotlib.lines.Line2D at 0x1c5ed140eb0>]
+Out[12]: [<matplotlib.lines.Line2D at 0x1d6985d12a0>]
 
 In [13]: plt.legend()
-Out[13]: <matplotlib.legend.Legend at 0x1c5e514d120>
+Out[13]: <matplotlib.legend.Legend at 0x1d698561180>
savefig/p_signal_surrogate2.png @@ -1866,7 +1866,7 @@

signal_changepoints()In [2]: signal = nk.emg_simulate(burst_number=3) In [3]: nk.signal_changepoints(signal, change="var", show=True) -Out[3]: array([1750, 2396, 2400, 2750, 4500, 5500, 7250, 8250]) +Out[3]: array([1750, 2750, 3780, 4500, 5500, 7250, 8250, 8961, 8964]) savefig/p_signal_changepoints1.png diff --git a/functions/stats.html b/functions/stats.html index 3e7becdc10..8767f79176 100644 --- a/functions/stats.html +++ b/functions/stats.html @@ -8,7 +8,7 @@ - Stats — NeuroKit2 0.2.8 documentation + Stats — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + @@ -969,91 +969,91 @@

cluster()In [15]: fig, axes = plt.subplots(ncols=2, nrows=5) In [16]: axes[0, 0].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_kmeans['Cluster']) -Out[16]: <matplotlib.collections.PathCollection at 0x1c5e8518940> +Out[16]: <matplotlib.collections.PathCollection at 0x1d68451aef0> In [17]: axes[0, 0].scatter(clusters_kmeans[:, 2], clusters_kmeans[:, 3], c='red') -Out[17]: <matplotlib.collections.PathCollection at 0x1c5e81a0ac0> +Out[17]: <matplotlib.collections.PathCollection at 0x1d693ce4310> In [18]: axes[0, 0].set_title("k-means") Out[18]: Text(0.5, 1.0, 'k-means') In [19]: axes[0, 1].scatter(data.iloc[:,[2]], data.iloc[:, [3]], c=clustering_spectral['Cluster']) -Out[19]: <matplotlib.collections.PathCollection at 0x1c5e851b160> +Out[19]: <matplotlib.collections.PathCollection at 0x1d693d189d0> In [20]: axes[0, 1].scatter(clusters_spectral[:, 2], clusters_spectral[:, 3], c='red') -Out[20]: <matplotlib.collections.PathCollection at 0x1c5e8518910> +Out[20]: <matplotlib.collections.PathCollection at 0x1d68452bd00> In [21]: axes[0, 1].set_title("Spectral") Out[21]: Text(0.5, 1.0, 'Spectral') In [22]: axes[1, 0].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_hierarchical['Cluster']) -Out[22]: <matplotlib.collections.PathCollection at 0x1c5e8519300> +Out[22]: <matplotlib.collections.PathCollection at 0x1d68d3a6d40> In [23]: axes[1, 0].scatter(clusters_hierarchical[:, 2], clusters_hierarchical[:, 3], c='red') -Out[23]: <matplotlib.collections.PathCollection at 0x1c5e851ac20> +Out[23]: <matplotlib.collections.PathCollection at 0x1d68452beb0> In [24]: axes[1, 0].set_title("Hierarchical") Out[24]: Text(0.5, 1.0, 'Hierarchical') In [25]: axes[1, 1].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_agglomerative['Cluster']) -Out[25]: <matplotlib.collections.PathCollection at 0x1c5e8519b10> +Out[25]: <matplotlib.collections.PathCollection at 0x1d693d19d50> In [26]: axes[1, 1].scatter(clusters_agglomerative[:, 2], clusters_agglomerative[:, 3], c='red') -Out[26]: <matplotlib.collections.PathCollection at 0x1c5e8518580> +Out[26]: <matplotlib.collections.PathCollection at 0x1d693d19900> In [27]: axes[1, 1].set_title("Agglomerative") Out[27]: Text(0.5, 1.0, 'Agglomerative') In [28]: axes[2, 0].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_mixture['Cluster']) -Out[28]: <matplotlib.collections.PathCollection at 0x1c5e851a200> +Out[28]: <matplotlib.collections.PathCollection at 0x1d693d1a380> In [29]: axes[2, 0].scatter(clusters_mixture[:, 2], clusters_mixture[:, 3], c='red') -Out[29]: <matplotlib.collections.PathCollection at 0x1c58d411f00> +Out[29]: <matplotlib.collections.PathCollection at 0x1d68452ba60> In [30]: axes[2, 0].set_title("Mixture") Out[30]: Text(0.5, 1.0, 'Mixture') In [31]: axes[2, 1].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_bayes['Cluster']) -Out[31]: <matplotlib.collections.PathCollection at 0x1c58b7d73a0> +Out[31]: <matplotlib.collections.PathCollection at 0x1d693d1ad10> In [32]: axes[2, 1].scatter(clusters_bayes[:, 2], clusters_bayes[:, 3], c='red') -Out[32]: <matplotlib.collections.PathCollection at 0x1c58b7d7ee0> +Out[32]: <matplotlib.collections.PathCollection at 0x1d693d1a830> In [33]: axes[2, 1].set_title("Bayesian Mixture") Out[33]: Text(0.5, 1.0, 'Bayesian Mixture') In [34]: axes[3, 0].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_pca['Cluster']) -Out[34]: <matplotlib.collections.PathCollection at 0x1c58b7d4e80> +Out[34]: <matplotlib.collections.PathCollection at 0x1d693d1b5b0> In [35]: axes[3, 0].scatter(clusters_pca[:, 2], clusters_pca[:, 3], c='red') -Out[35]: <matplotlib.collections.PathCollection at 0x1c58b7d6e30> +Out[35]: <matplotlib.collections.PathCollection at 0x1d693cb6ce0> In [36]: axes[3, 0].set_title("PCA") Out[36]: Text(0.5, 1.0, 'PCA') In [37]: axes[3, 1].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_ica['Cluster']) -Out[37]: <matplotlib.collections.PathCollection at 0x1c58b7d5cc0> +Out[37]: <matplotlib.collections.PathCollection at 0x1d695e123b0> In [38]: axes[3, 1].scatter(clusters_ica[:, 2], clusters_ica[:, 3], c='red') -Out[38]: <matplotlib.collections.PathCollection at 0x1c58b7d6740> +Out[38]: <matplotlib.collections.PathCollection at 0x1d693ce52a0> In [39]: axes[3, 1].set_title("ICA") Out[39]: Text(0.5, 1.0, 'ICA') In [40]: axes[4, 0].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_kmod['Cluster']) -Out[40]: <matplotlib.collections.PathCollection at 0x1c58b7d4460> +Out[40]: <matplotlib.collections.PathCollection at 0x1d693d1baf0> In [41]: axes[4, 0].scatter(clusters_kmod[:, 2], clusters_kmod[:, 3], c='red') -Out[41]: <matplotlib.collections.PathCollection at 0x1c58b7d4cd0> +Out[41]: <matplotlib.collections.PathCollection at 0x1d693d1abf0> In [42]: axes[4, 0].set_title("modified K-means") Out[42]: Text(0.5, 1.0, 'modified K-means') In [43]: axes[4, 1].scatter(data.iloc[:,[2]], data.iloc[:,[3]], c=clustering_aahc['Cluster']) -Out[43]: <matplotlib.collections.PathCollection at 0x1c58b7d59c0> +Out[43]: <matplotlib.collections.PathCollection at 0x1d695e4c5b0> In [44]: axes[4, 1].scatter(clusters_aahc[:, 2], clusters_aahc[:, 3], c='red') -Out[44]: <matplotlib.collections.PathCollection at 0x1c58b7d45b0> +Out[44]: <matplotlib.collections.PathCollection at 0x1d68d375120> In [45]: axes[4, 1].set_title("AAHC (Frederic's method)") Out[45]: Text(0.5, 1.0, "AAHC (Frederic's method)") @@ -1165,7 +1165,7 @@

cluster_quality()In [5]: general Out[5]: n_Clusters Score_Silhouette ... Score_GAP_sk Score_GAPmod_sk -0 3.0 0.552819 ... 0.287991 1062.203651 +0 3.0 0.551192 ... 0.274079 1064.08717 [1 rows x 12 columns] @@ -1434,7 +1434,7 @@

fit_polynomial()In [3]: bw = nk.density_bandwidth(x) In [4]: bw -Out[4]: 0.36806441946492463 +Out[4]: 0.4002935354670467 In [5]: nk.density_bandwidth(x, method="scott") Out[5]: 0.3981071705534972 diff --git a/functions/video.html b/functions/video.html index 32fe516a23..4b32ad4dc6 100644 --- a/functions/video.html +++ b/functions/video.html @@ -8,7 +8,7 @@ - Video Analysis — NeuroKit2 0.2.8 documentation + Video Analysis — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/genindex.html b/genindex.html index 8a6bac2957..bf3972db0c 100644 --- a/genindex.html +++ b/genindex.html @@ -7,7 +7,7 @@ - Index — NeuroKit2 0.2.8 documentation + Index — NeuroKit2 0.2.9 documentation @@ -37,7 +37,7 @@ - + @@ -137,8 +137,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/index.html b/index.html index d0b98738b1..ce11fec5b8 100644 --- a/index.html +++ b/index.html @@ -8,7 +8,7 @@ - Neurophysiological Data Analysis with NeuroKit2 — NeuroKit2 0.2.8 documentation + Neurophysiological Data Analysis with NeuroKit2 — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -139,8 +139,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/installation.html b/installation.html index 0a26901f3a..3fa9e5e427 100644 --- a/installation.html +++ b/installation.html @@ -8,7 +8,7 @@ - Installation — NeuroKit2 0.2.8 documentation + Installation — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/introduction.html b/introduction.html index e7b07a04f3..25c75364ff 100644 --- a/introduction.html +++ b/introduction.html @@ -8,7 +8,7 @@ - Overview — NeuroKit2 0.2.8 documentation + Overview — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 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22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 38, 39, 40, 41, 45, 48, 49, 50, 51, 52], "analysi": [1, 6, 13, 15, 16, 19, 22, 23, 24, 32, 33, 35, 40, 48, 49, 51, 54], "neuropsychologi": [1, 19, 25, 43, 47], "io": [1, 23, 27, 53], "heart": [1, 3, 4, 6, 15, 20, 22, 23, 25, 29, 32, 37, 39], "rate": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 15, 16, 20, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 35, 36, 37, 38, 39, 41, 51], "variabl": [1, 3, 4, 11, 15, 23, 25, 27, 32, 37, 38, 39, 40, 45, 53], "psychologi": [1, 9, 23, 25, 32, 44, 47], "review": [1, 9, 11, 12, 23, 32, 39, 44, 45, 54], "hrv": [1, 4, 15, 23, 33, 37, 38, 39, 49, 54], "indic": [1, 9, 12, 19, 25, 26, 27, 28, 29, 32, 34, 35, 37, 38, 39, 41, 44, 53, 54], "tutori": [1, 9, 17, 23, 32, 42, 44, 47, 48, 49, 54], "et": [1, 6, 11, 12, 13, 23, 25, 26, 32, 35, 36, 37, 38, 39, 40, 49, 51, 52, 53], "al": [1, 6, 11, 12, 13, 23, 25, 26, 32, 35, 36, 37, 38, 39, 40, 49, 51, 52, 53], "exampl": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 47, 53], "referenc": [2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 27, 38, 50, 51, 52, 53], "packag": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 23, 24, 25, 26, 29, 36, 39, 40, 42, 43, 44, 45, 50, 51, 52, 53], "while": [2, 3, 23, 36, 38, 39, 44, 45, 51, 53], "design": [2, 16, 23, 32, 47], "beginn": [2, 45, 47], "friendli": [2, 44, 45], "expert": [2, 40], "who": [2, 4, 26], "desir": [2, 13, 20, 23, 24, 25, 26, 27, 28, 37, 38, 39, 40], "control": [2, 20, 23, 25, 26, 29, 32, 39, 40], "over": [2, 4, 8, 11, 12, 13, 23, 25, 29, 38, 39, 40, 44, 45], "offer": [2, 39, 53], "possibl": [2, 11, 23, 25, 26, 27, 28, 29, 37, 38, 50, 53], "tune": [2, 23], "specif": [2, 4, 10, 16, 20, 23, 25, 26, 28, 29, 32, 37, 38, 39, 40, 44, 47], "usag": [2, 23, 44, 47, 53], "show": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19, 20, 23, 25, 26, 27, 29, 30, 32, 34, 35, 36, 37, 38, 39, 40, 41, 44, 45, 47, 50, 53], "us": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 47, 48, 50, 51, 52], "advanc": [2, 20, 23, 26, 38, 39, 44, 45], "user": [2, 3, 8, 11, 24, 27, 39, 42, 43, 44, 45, 47], "take": [2, 3, 5, 8, 12, 17, 23, 25, 26, 27, 28, 29, 31, 32, 34, 37, 38, 39, 45, 47, 51, 53], "ecg": [2, 3, 4, 9, 15, 16, 21, 22, 23, 24, 27, 30, 32, 33, 39, 45, 47, 48, 54], "load": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19, 20, 21, 24, 39, 40, 45, 47, 51], "other": [2, 3, 4, 6, 8, 12, 13, 14, 16, 17, 19, 20, 22, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 39, 40, 45, 47, 51, 52, 53], "import": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 50, 51, 52, 53], "numpi": [2, 3, 5, 6, 7, 8, 11, 13, 14, 17, 19, 20, 23, 24, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 44, 45, 47, 50, 52, 53], "np": [2, 3, 5, 6, 7, 8, 11, 13, 14, 16, 17, 19, 20, 22, 23, 25, 26, 27, 28, 29, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 44, 47, 50, 52, 53], "panda": [2, 3, 4, 5, 6, 11, 13, 14, 16, 17, 19, 20, 23, 24, 25, 26, 28, 37, 38, 39, 40, 44, 47, 51, 52, 53], "pd": [2, 3, 4, 5, 6, 11, 13, 14, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 34, 36, 37, 38, 39, 40, 44, 47, 51, 52, 53], "provid": [2, 3, 4, 5, 10, 11, 13, 22, 23, 25, 26, 27, 29, 32, 36, 37, 38, 39, 40, 42, 44, 47], "veri": [2, 5, 23, 31, 32, 38, 39, 44, 45, 47, 51, 53], "set": [2, 6, 8, 10, 16, 19, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 39, 40, 47, 53], "_process": 2, "e": [2, 3, 4, 8, 9, 10, 11, 12, 16, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 53], "g": [2, 10, 11, 12, 16, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 51, 52, 53], "ecg_process": [2, 4, 8, 22, 32, 39, 44], "eda_process": [2, 10, 22, 44], "emg_process": [2, 22, 36, 44], "which": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 16, 17, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 44, 45, 47, 50, 51, 53], "one": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 16, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 39, 40, 42, 44, 45, 47, 52], "clean": [2, 9, 19, 22, 23, 25, 26, 28, 29, 32, 37, 38, 39, 44, 48, 51, 52], "preprocess": [2, 15, 21, 32, 36], "It": [2, 3, 4, 6, 8, 9, 10, 12, 17, 18, 19, 23, 25, 26, 27, 29, 32, 35, 37, 38, 39, 43, 45, 47, 51, 53], "includ": [2, 5, 9, 11, 12, 13, 19, 23, 24, 25, 26, 27, 32, 35, 36, 37, 38, 39, 40, 44, 45, 47, 50, 51, 53], "good": [2, 9, 17, 25, 39, 43, 44, 46], "sensibl": 2, "should": [2, 3, 8, 11, 13, 16, 23, 25, 26, 27, 28, 31, 32, 36, 37, 38, 39, 40, 43, 45, 47], "suit": [2, 11, 23, 44], "most": [2, 9, 11, 12, 23, 25, 32, 39, 42, 43, 44, 45, 47, 51], "typic": [2, 13, 22, 23, 24, 25, 26, 28, 29, 35, 37, 38, 39, 40, 44, 45], "case": [2, 4, 8, 16, 17, 20, 23, 25, 26, 27, 28, 31, 32, 35, 37, 38, 39, 40, 44, 45, 47, 51, 53], "That": [2, 3, 26, 43, 45, 47], "being": [2, 23, 25, 32, 36, 44, 45], "said": [2, 3, 45, 47], "simul": [2, 7, 8, 10, 15, 18, 22, 23, 25, 26, 27, 28, 29, 31, 32, 34, 36, 37, 38, 39, 40], "ecg_simul": [2, 7, 8, 20, 21, 22, 23, 26, 27, 28, 30, 37, 39, 40, 44, 45], "durat": [2, 3, 7, 8, 10, 12, 16, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 40, 44, 51], "15": [2, 3, 4, 7, 8, 11, 13, 20, 22, 23, 24, 25, 26, 27, 31, 32, 34, 36, 38, 39, 40, 44, 47, 50], "sampling_r": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 35, 36, 37, 38, 39, 40, 41, 44, 50, 51, 52], "1000": [2, 5, 6, 10, 11, 16, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 40, 50], "heart_rat": [2, 18, 20, 25, 37, 39, 44], "80": [2, 13, 25, 27, 31, 37, 39, 50], "info": [2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 16, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32, 34, 35, 36, 37, 38, 39, 40, 44, 45, 50, 51], "visual": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 44, 51, 52], "ecg_plot": [2, 4, 26, 28, 37, 38, 39, 44], "now": [2, 3, 4, 6, 8, 9, 10, 11, 13, 14, 16, 17, 19, 20, 23, 26, 30, 38, 39, 43, 45, 47], "look": [2, 4, 5, 16, 23, 36, 40, 47], "code": [2, 7, 8, 11, 16, 23, 25, 27, 29, 34, 39, 42, 44, 47], "see": [2, 3, 4, 7, 9, 11, 12, 13, 18, 20, 22, 23, 24, 25, 26, 27, 28, 29, 32, 34, 35, 36, 37, 38, 39, 40, 43, 45, 47, 48, 49, 50, 52, 53], "explor": [2, 5, 32, 45, 47, 53], "fact": [2, 25, 27, 47], "simpl": [2, 13, 19, 20, 23, 25, 38, 40, 45, 53], "what": [2, 3, 11, 23, 27, 35, 36, 39, 41, 43, 44, 45, 47, 49], "mid": 2, "level": [2, 10, 20, 23, 25, 26, 27, 28, 29, 37, 38, 39, 40, 44, 47, 53], "ecg_clean": [2, 8, 22, 32], "ecg_peak": [2, 5, 6, 9, 21, 23, 32, 39, 44, 45, 51], "ecg_rat": [2, 3, 6, 22, 23, 29, 32, 39], "mean": [2, 3, 4, 5, 9, 11, 12, 13, 19, 22, 23, 24, 25, 26, 27, 28, 29, 32, 35, 36, 37, 38, 39, 40, 43, 45, 47, 50, 51, 53], "basic": [2, 23, 27, 32, 36, 43, 45], "re": [2, 11, 12, 16, 23, 24, 25, 27, 29, 35, 38, 39, 43, 44, 45, 47, 50, 52, 53], "creat": [2, 6, 8, 11, 13, 15, 17, 23, 24, 25, 26, 29, 30, 31, 36, 37, 38, 39, 43, 44, 47, 53], "easili": [2, 3, 12, 23, 27, 44, 45, 47], "call": [2, 3, 16, 23, 35, 40, 43, 45, 47], "defin": [2, 8, 12, 17, 21, 23, 27, 31, 32, 37, 39], "new": [2, 3, 11, 12, 23, 26, 27, 29, 31, 32, 34, 36, 40, 42, 43, 44, 45, 47, 51], "def": [2, 8, 11, 17, 21, 23, 36, 45, 50, 51, 52], "my_process": 2, "ecg_sign": [2, 4, 5, 8, 21, 25, 26, 32, 44], "instant_peak": 2, "rpeak": [2, 5, 6, 8, 21, 25, 32, 44, 51], "desired_length": [2, 6, 19, 23, 25, 29, 38, 39, 40], "len": [2, 6, 16, 19, 22, 23, 25, 27, 29, 30, 31, 36, 38, 39, 44, 51, 52], "qualiti": [2, 25, 32, 35, 37, 40, 44, 46, 49], "ecg_qual": 2, "prepar": [2, 8, 29, 35, 37, 47], "output": [2, 3, 5, 8, 10, 16, 19, 23, 24, 32, 35, 36, 39, 45, 47], "datafram": [2, 3, 4, 6, 8, 9, 10, 11, 16, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 44, 52], "ecg_raw": [2, 22, 25], "concat": [2, 11, 23, 24, 38, 51, 52], "axi": [2, 11, 13, 14, 17, 23, 24, 25, 27, 30, 38, 39, 40, 50, 51, 52, 53], "dict": [2, 3, 10, 11, 13, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 47], "return": [2, 3, 4, 5, 8, 11, 17, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 45, 47, 50, 51, 52], "would": [2, 4, 5, 12, 23, 30, 32, 38, 44, 45, 47, 48, 49], "previous": [2, 45], "ask": [2, 4, 45, 47], "why": [2, 23, 47], "well": [2, 4, 5, 10, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 37, 38, 39, 42, 44, 45, 47, 53], "allow": [2, 3, 6, 8, 9, 10, 25, 26, 32, 36, 37, 38, 39, 45, 47, 53], "insid": [2, 3, 36, 47], "sai": [2, 4, 16, 45, 47], "first": [2, 3, 4, 5, 9, 11, 12, 16, 17, 21, 23, 26, 27, 31, 32, 36, 38, 39, 47, 48, 50, 52, 53], "document": [2, 23, 25, 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"signal-simulate"]], "signal_filter()": [[39, "signal-filter"]], "signal_sanitize()": [[39, "signal-sanitize"]], "signal_resample()": [[39, "signal-resample"]], "signal_fillmissing()": [[39, "signal-fillmissing"]], "Transformation": [[39, "transformation"]], "signal_binarize()": [[39, "signal-binarize"]], "signal_decompose()": [[39, "signal-decompose"]], "signal_recompose()": [[39, "signal-recompose"]], "signal_detrend()": [[39, "signal-detrend"]], "signal_distort()": [[39, "signal-distort"]], "signal_flatline()": [[39, "signal-flatline"]], "signal_interpolate()": [[39, "signal-interpolate"]], "signal_merge()": [[39, "signal-merge"]], "signal_noise()": [[39, "signal-noise"]], "signal_surrogate()": [[39, "signal-surrogate"]], "Peaks": [[39, "peaks"]], "signal_findpeaks()": [[39, "signal-findpeaks"]], "signal_fixpeaks()": [[39, "signal-fixpeaks"]], "signal_autocor()": [[39, "signal-autocor"]], "signal_changepoints()": [[39, "signal-changepoints"]], "signal_period()": [[39, "signal-period"]], "signal_phase()": [[39, "signal-phase"]], "signal_plot()": [[39, "signal-plot"]], "signal_power()": [[39, "signal-power"]], "signal_psd()": [[39, "signal-psd"]], "signal_rate()": [[39, "signal-rate"]], "signal_smooth()": [[39, "signal-smooth"]], "signal_synchrony()": [[39, "signal-synchrony"]], "signal_timefrequency()": [[39, "signal-timefrequency"]], "signal_zerocrossings()": [[39, "signal-zerocrossings"]], "Stats": [[40, "stats"]], "correlation()": [[40, "correlation"]], "density()": [[40, "density"]], "distance()": [[40, "distance"]], "hdi()": [[40, "hdi"]], "mad()": [[40, "mad"]], "rescale()": [[40, "rescale"]], "standardize()": [[40, "standardize"]], "summary()": [[40, "summary"]], "Clustering": [[40, "clustering"]], "cluster()": [[40, "cluster"]], "cluster_findnumber()": [[40, "cluster-findnumber"]], "cluster_quality()": [[40, "cluster-quality"]], "Indices of fit": [[40, "indices-of-fit"]], "fit_error()": [[40, "fit-error"]], "fit_loess()": [[40, "fit-loess"]], "fit_mixture()": [[40, "fit-mixture"]], "fit_polynomial()": [[40, "fit-polynomial"]], "Video Analysis": [[41, "video-analysis"]], "video_plot()": [[41, "video-plot"]], "video_face()": [[41, "video-face"]], "video_skin()": [[41, "video-skin"]], "video_ppg()": [[41, "video-ppg"]], "Neurophysiological Data Analysis with NeuroKit2": [[42, "neurophysiological-data-analysis-with-neurokit2"]], "Home": [[42, "home"]], "Menu": [[42, null]], "Popularity": [[42, "popularity"], [44, "popularity"]], "Used at": [[42, "used-at"], [44, "used-at"]], "Disclaimer": [[42, "disclaimer"], [44, "disclaimer"]], "Installation": [[43, "installation"]], "You don\u2019t have Python": [[43, "you-don-t-have-python"]], "Python + VS code": [[43, "python-vs-code"]], "Winpython": [[43, "winpython"]], "Miniconda or Anaconda": [[43, "miniconda-or-anaconda"]], "From conda": [[43, "from-conda"]], "Overview": [[44, "overview"]], "Quick Example": [[44, "quick-example"]], "Download": [[44, "download"]], "Contributing": [[44, "contributing"]], "Documentation": [[44, "documentation"]], "General": [[44, "general"]], "Citation": [[44, "citation"]], "Physiological Data Preprocessing": [[44, "physiological-data-preprocessing"]], "Simulate physiological signals": [[44, "simulate-physiological-signals"]], "Electrodermal Activity (EDA/GSR)": [[44, "electrodermal-activity-eda-gsr"]], "Cardiac activity (ECG)": [[44, "cardiac-activity-ecg"]], "Photoplethysmography (PPG/BVP)": [[44, "photoplethysmography-ppg-bvp"]], "Electrooculography (EOG)": [[44, "electrooculography-eog"]], "Electrogastrography (EGG)": [[44, "electrogastrography-egg"]], "Physiological Data Analysis": [[44, "physiological-data-analysis"]], "Event-related": [[44, "event-related"]], "Interval-related": [[44, "interval-related"]], "ECG Delineation": [[44, "ecg-delineation"]], "Complexity (Entropy, Fractal Dimensions, \u2026)": [[44, "complexity-entropy-fractal-dimensions"]], "Signal Decomposition": [[44, "signal-decomposition"]], "Signal Power Spectrum Density (PSD)": [[44, "signal-power-spectrum-density-psd"]], "Statistics": [[44, "statistics"]], "Contributing guide": [[45, "contributing-guide"]], "Why contribute to NeuroKit?": [[45, "why-contribute-to-neurokit"]], "NeuroKit\u2019s style": [[45, "neurokit-s-style"]], "Structure and code": [[45, "structure-and-code"]], "Naming conventions": [[45, "naming-conventions"]], "Run code checks": [[45, "run-code-checks"]], "Development workflow": [[45, "development-workflow"]], "Understanding NeuroKit": [[45, "understanding-neurokit"]], "1. Documentation website": [[45, "documentation-website"]], "2. The source on Github": [[45, "the-source-on-github"]], "How to use GitHub to contribute": [[45, "how-to-use-github-to-contribute"]], "Step 1: Fork the repo": [[45, "step-1-fork-the-repo"]], "Step 2: Clone it": [[45, "step-2-clone-it"]], "Step 3: Improve it": [[45, "step-3-improve-it"]], "Step 4: Commit it and push it": [[45, "step-4-commit-it-and-push-it"]], "Step 4: Create pull request": [[45, "step-4-create-pull-request"]], "Step 5: Let\u2019s do it": [[45, "step-5-let-s-do-it"]], "Ideas for contributions": [[45, "ideas-for-contributions"]], "Talk about it": [[45, "talk-about-it"]], "Look for \u201cgood first contribution\u201d issues": [[45, "look-for-good-first-contribution-issues"]], "Improving documentation": [[45, "improving-documentation"]], "Adding tests": [[45, "adding-tests"]], "Adding examples and tutorials": [[45, "adding-examples-and-tutorials"]], "Resources": [[46, "resources"]], "Learn Python in 10 minutes": [[47, "learn-python-in-10-minutes"]], "Setup": [[47, "setup"]], "Variables": [[47, "variables"]], "Data types": [[47, "data-types"]], "Lists and dictionaries": [[47, "lists-and-dictionaries"]], "Basic indexing": [[47, "basic-indexing"]], "Indexing starts from 0": [[47, "indexing-starts-from-0"]], "Control flow (if and else)": [[47, "control-flow-if-and-else"]], "For loops": [[47, "for-loops"]], "Packages": [[47, "packages"]], "Lists vs. vectors (arrays)": [[47, "lists-vs-vectors-arrays"]], "Conditional indexing": [[47, "conditional-indexing"]], "Dataframes": [[47, "dataframes"]], "Reading data": [[47, "reading-data"]], "Next steps": [[47, "next-steps"]], "Recording good quality signals": [[48, "recording-good-quality-signals"]], "Recording": [[48, "recording"]], "Signal quality": [[48, "signal-quality"]], "Artifacts and Anomalies": [[48, "artifacts-and-anomalies"]], "Additional Resources": [[49, "additional-resources"]], "General Neuroimaging": [[49, "general-neuroimaging"]], "Optimal Selection of Delay and Embedding Dimension for EEG Complexity\nAnalysis": [[50, "optimal-selection-of-delay-and-embedding-dimension-for-eeg-complexity-analysis"]], "Introduction": [[50, "introduction"], [51, "introduction"], [52, "introduction"], [53, "introduction"]], "Methods": [[50, "methods"], [52, "methods"], [52, "id1"], [52, "id3"]], "Results": [[50, "results"], [51, "results"], [51, "id6"], [52, "results"], [52, "id2"], [52, "id4"], [53, "results"]], "Optimization of Delay": [[50, "optimization-of-delay"]], "Per Channel": [[50, "per-channel"], [50, "id1"]], "Attractors": [[50, "attractors"]], "Optimization of Dimension": [[50, "optimization-of-dimension"]], "Topological Clusters": [[50, "topological-clusters"]], "Discussion": [[50, "discussion"]], "References": [[50, "references"], [51, "references"], [52, "references"], [53, "references"]], "Benchmarking of ECG Preprocessing Methods": [[51, "benchmarking-of-ecg-preprocessing-methods"]], "Databases": [[51, "databases"]], "Glasgow University Database": [[51, "glasgow-university-database"]], "MIT-BIH Arrhythmia Database": [[51, "mit-bih-arrhythmia-database"]], "MIT-BIH Normal Sinus Rhythm Database": [[51, "mit-bih-normal-sinus-rhythm-database"]], "Lobachevsky University Electrocardiography Database": [[51, "lobachevsky-university-electrocardiography-database"]], "Fantasia Database": [[51, "fantasia-database"]], "Concanate them together": [[51, "concanate-them-together"]], "Study 1: Comparing Different R-Peaks Detection Algorithms": [[51, "study-1-comparing-different-r-peaks-detection-algorithms"]], "Procedure": [[51, "procedure"], [51, "id3"], [51, "id11"], [53, "procedure"]], "Setup Functions": [[51, "setup-functions"], [51, "id4"], [51, "id12"]], "Run the Benchmarking": [[51, "run-the-benchmarking"], [51, "id5"], [51, "id13"]], "Errors and bugs": [[51, "errors-and-bugs"]], "Computation Time": [[51, "computation-time"]], "Descriptive Statistics": [[51, "descriptive-statistics"], [51, "id1"], [51, "id8"]], "Statistical Modelling": [[51, "statistical-modelling"], [51, "id2"], [51, "id9"]], "Accuracy": [[51, "accuracy"], [51, "id7"]], "Conclusion": [[51, "conclusion"], [51, "id10"], [53, "conclusion"]], "Study 2: Normalization": [[51, "study-2-normalization"]], "Study 3: Low Frequency Trends Removal": [[51, "study-3-low-frequency-trends-removal"]], "Blink Template Estimation for Electrooculography (EOG)": [[52, "blink-template-estimation-for-electrooculography-eog"]], "Study 1: Initial Estimation": [[52, "study-1-initial-estimation"]], "Define Functions": [[52, "define-functions"]], "Study 2: Difference between Template and EOG Events": [[52, "study-2-difference-between-template-and-eog-events"]], "Study 3: Optimize the Parameters": [[52, "study-3-optimize-the-parameters"]], "An GAM-based Approach to EEG/ERP Analysis using Python and R": [[53, "an-gam-based-approach-to-eeg-erp-analysis-using-python-and-r"]], "ERP analysis using MNE-Python": [[53, "erp-analysis-using-mne-python"]], "Utility Functions": [[53, "utility-functions"]], "Visualize Average": [[53, "visualize-average"]], "Spline Regression": [[53, "spline-regression"]], "General Additive Model (GAM)": [[53, "general-additive-model-gam"]], "Using data from all the channels": [[53, "using-data-from-all-the-channels"]], "Studies": [[54, "studies"]]}, "indexentries": {"benchmark_ecg_preprocessing() (in module neurokit2)": [[21, "neurokit2.benchmark_ecg_preprocessing"]], "bio_analyze() (in module neurokit2)": [[22, "neurokit2.bio_analyze"]], "bio_process() (in module neurokit2)": [[22, "neurokit2.bio_process"]], "complexity() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity"]], "complexity_attractor() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_attractor"]], "complexity_coarsegraining() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_coarsegraining"]], "complexity_decorrelation() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_decorrelation"]], "complexity_delay() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_delay"]], "complexity_dimension() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_dimension"]], "complexity_embedding() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_embedding"]], "complexity_hjorth() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_hjorth"]], "complexity_k() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_k"]], "complexity_lempelziv() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_lempelziv"]], "complexity_lyapunov() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_lyapunov"]], "complexity_ordinalpatterns() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_ordinalpatterns"]], "complexity_relativeroughness() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_relativeroughness"]], "complexity_rqa() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_rqa"]], "complexity_simulate() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_simulate"]], "complexity_symbolize() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_symbolize"]], "complexity_tolerance() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_tolerance"]], "entropy_approximate() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_approximate"]], "entropy_attention() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_attention"]], "entropy_bubble() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_bubble"]], "entropy_cumulativeresidual() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_cumulativeresidual"]], "entropy_differential() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_differential"]], "entropy_dispersion() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_dispersion"]], "entropy_fuzzy() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_fuzzy"]], "entropy_grid() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_grid"]], "entropy_hierarchical() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_hierarchical"]], "entropy_increment() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_increment"]], "entropy_kl() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_kl"]], "entropy_maximum() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_maximum"]], "entropy_multiscale() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_multiscale"]], "entropy_ofentropy() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_ofentropy"]], "entropy_permutation() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_permutation"]], "entropy_phase() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_phase"]], "entropy_power() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_power"]], "entropy_quadratic() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_quadratic"]], "entropy_range() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_range"]], "entropy_rate() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_rate"]], "entropy_renyi() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_renyi"]], "entropy_sample() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_sample"]], "entropy_shannon() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_shannon"]], "entropy_shannon_joint() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_shannon_joint"]], "entropy_slope() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_slope"]], "entropy_spectral() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_spectral"]], "entropy_svd() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_svd"]], "entropy_symbolicdynamic() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_symbolicdynamic"]], "entropy_tsallis() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_tsallis"]], "fisher_information() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fisher_information"]], "fishershannon_information() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fishershannon_information"]], "fractal_correlation() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_correlation"]], "fractal_density() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_density"]], "fractal_dfa() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_dfa"]], "fractal_higuchi() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_higuchi"]], "fractal_hurst() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_hurst"]], "fractal_katz() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_katz"]], "fractal_linelength() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_linelength"]], "fractal_mandelbrot() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_mandelbrot"]], "fractal_nld() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_nld"]], "fractal_petrosian() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_petrosian"]], "fractal_psdslope() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_psdslope"]], "fractal_sevcik() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_sevcik"]], "fractal_tmf() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_tmf"]], "mutual_information() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.mutual_information"]], "recurrence_matrix() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.recurrence_matrix"]], "data() (in module neurokit2.data)": [[24, "neurokit2.data.data"]], "download_from_url() (in module neurokit2.data)": [[24, "neurokit2.data.download_from_url"]], "download_zip() (in module neurokit2.data)": [[24, "neurokit2.data.download_zip"]], "module": [[24, "module-neurokit2.data"], [25, "module-neurokit2.ecg"], [26, "module-neurokit2.eda"], [27, "module-neurokit2.eeg"], [28, "module-neurokit2.emg"], [29, "module-neurokit2.eog"], [32, "module-neurokit2.hrv"], [36, "module-neurokit2.misc"], [37, "module-neurokit2.ppg"], [38, "module-neurokit2.rsp"], [39, "module-neurokit2.signal"], [40, "module-neurokit2.stats"]], "neurokit2.data": [[24, "module-neurokit2.data"]], "read_acqknowledge() (in module neurokit2.data)": [[24, "neurokit2.data.read_acqknowledge"]], "read_bitalino() (in module neurokit2.data)": [[24, "neurokit2.data.read_bitalino"]], "read_video() (in module neurokit2.data)": [[24, "neurokit2.data.read_video"]], "read_xdf() (in module neurokit2.data)": [[24, "neurokit2.data.read_xdf"]], "write_csv() (in module neurokit2.data)": [[24, "neurokit2.data.write_csv"]], "ecg_analyze() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_analyze"]], "ecg_clean() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_clean"]], "ecg_delineate() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_delineate"]], "ecg_eventrelated() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_eventrelated"]], "ecg_findpeaks() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_findpeaks"]], "ecg_intervalrelated() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_intervalrelated"]], "ecg_invert() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_invert"]], "ecg_peaks() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_peaks"]], "ecg_phase() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_phase"]], "ecg_plot() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_plot"]], "ecg_process() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_process"]], "ecg_quality() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_quality"]], "ecg_rate() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_rate"]], "ecg_rsp() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_rsp"]], "ecg_segment() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_segment"]], "ecg_simulate() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_simulate"]], "neurokit2.ecg": [[25, "module-neurokit2.ecg"]], "eda_analyze() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_analyze"]], "eda_autocor() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_autocor"]], "eda_changepoints() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_changepoints"]], "eda_clean() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_clean"]], "eda_eventrelated() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_eventrelated"]], "eda_findpeaks() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_findpeaks"]], "eda_fixpeaks() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_fixpeaks"]], "eda_intervalrelated() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_intervalrelated"]], "eda_peaks() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_peaks"]], "eda_phasic() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_phasic"]], "eda_plot() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_plot"]], "eda_process() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_process"]], "eda_simulate() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_simulate"]], "eda_sympathetic() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_sympathetic"]], "neurokit2.eda": [[26, "module-neurokit2.eda"]], "eeg_badchannels() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_badchannels"]], "eeg_diss() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_diss"]], "eeg_gfp() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_gfp"]], "eeg_power() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_power"]], "eeg_rereference() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_rereference"]], "eeg_simulate() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_simulate"]], "eeg_source() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_source"]], "eeg_source_extract() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.eeg_source_extract"]], "mne_channel_add() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_channel_add"]], "mne_channel_extract() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_channel_extract"]], "mne_crop() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_crop"]], "mne_data() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_data"]], "mne_templatemri() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_templateMRI"]], "mne_to_df() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_to_df"]], "mne_to_dict() (in module neurokit2.eeg)": [[27, "neurokit2.eeg.mne_to_dict"]], "neurokit2.eeg": [[27, "module-neurokit2.eeg"]], "emg_activation() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_activation"]], "emg_amplitude() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_amplitude"]], "emg_analyze() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_analyze"]], "emg_clean() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_clean"]], "emg_eventrelated() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_eventrelated"]], "emg_intervalrelated() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_intervalrelated"]], "emg_plot() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_plot"]], "emg_process() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_process"]], "emg_simulate() (in module neurokit2.emg)": [[28, "neurokit2.emg.emg_simulate"]], "neurokit2.emg": [[28, "module-neurokit2.emg"]], "eog_analyze() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_analyze"]], "eog_clean() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_clean"]], "eog_eventrelated() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_eventrelated"]], "eog_features() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_features"]], "eog_findpeaks() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_findpeaks"]], "eog_intervalrelated() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_intervalrelated"]], "eog_peaks() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_peaks"]], "eog_plot() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_plot"]], "eog_process() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_process"]], "eog_rate() (in module neurokit2.eog)": [[29, "neurokit2.eog.eog_rate"]], "neurokit2.eog": [[29, "module-neurokit2.eog"]], "epochs_average() (in module neurokit2.epochs)": [[30, "neurokit2.epochs.epochs_average"]], "epochs_create() (in module neurokit2.epochs)": [[30, "neurokit2.epochs.epochs_create"]], "epochs_plot() (in module neurokit2.epochs)": [[30, "neurokit2.epochs.epochs_plot"]], "epochs_to_array() (in module neurokit2.epochs)": [[30, "neurokit2.epochs.epochs_to_array"]], "epochs_to_df() (in module neurokit2.epochs)": [[30, "neurokit2.epochs.epochs_to_df"]], "events_create() (in module neurokit2.events)": [[31, "neurokit2.events.events_create"]], "events_find() (in module neurokit2.events)": [[31, "neurokit2.events.events_find"]], "events_plot() (in module neurokit2.events)": [[31, "neurokit2.events.events_plot"]], "events_to_mne() (in module neurokit2.events)": [[31, "neurokit2.events.events_to_mne"]], "hrv() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.hrv"]], "hrv_frequency() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.hrv_frequency"]], "hrv_nonlinear() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.hrv_nonlinear"]], "hrv_rqa() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.hrv_rqa"]], "hrv_rsa() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.hrv_rsa"]], "hrv_time() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.hrv_time"]], "intervals_process() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.intervals_process"]], "intervals_to_peaks() (in module neurokit2.hrv)": [[32, "neurokit2.hrv.intervals_to_peaks"]], "neurokit2.hrv": [[32, "module-neurokit2.hrv"]], "markov_mixingtime() (in module neurokit2.markov)": [[34, "neurokit2.markov.markov_mixingtime"]], "markov_simulate() (in module neurokit2.markov)": [[34, "neurokit2.markov.markov_simulate"]], "markov_test_homogeneity() (in module neurokit2.markov)": [[34, "neurokit2.markov.markov_test_homogeneity"]], "markov_test_random() (in module neurokit2.markov)": [[34, "neurokit2.markov.markov_test_random"]], "markov_test_symmetry() (in module neurokit2.markov)": [[34, "neurokit2.markov.markov_test_symmetry"]], "transition_matrix() (in module neurokit2.markov)": [[34, "neurokit2.markov.transition_matrix"]], "microstates_classify() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_classify"]], "microstates_clean() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_clean"]], "microstates_dynamic() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_dynamic"]], "microstates_findnumber() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_findnumber"]], "microstates_peaks() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_peaks"]], "microstates_plot() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_plot"]], "microstates_segment() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_segment"]], "microstates_static() (in module neurokit2.microstates)": [[35, "neurokit2.microstates.microstates_static"]], "neurokitwarning": [[36, "neurokit2.misc.NeuroKitWarning"]], "as_vector() (in module neurokit2.misc)": [[36, "neurokit2.misc.as_vector"]], "check_random_state() (in module neurokit2.misc)": [[36, "neurokit2.misc.check_random_state"]], "check_random_state_children() (in module neurokit2.misc)": [[36, "neurokit2.misc.check_random_state_children"]], "check_type() (in module neurokit2.misc)": [[36, "neurokit2.misc.check_type"]], "copyfunction() (in module neurokit2.misc)": [[36, "neurokit2.misc.copyfunction"]], "create_report() (in module neurokit2.misc)": [[36, "neurokit2.misc.create_report"]], "expspace() (in module neurokit2.misc)": [[36, "neurokit2.misc.expspace"]], "fig2img() (in module neurokit2.misc)": [[36, "neurokit2.misc.fig2img"]], "find_closest() (in module neurokit2.misc)": [[36, "neurokit2.misc.find_closest"]], "find_consecutive() (in module neurokit2.misc)": [[36, "neurokit2.misc.find_consecutive"]], "find_groups() (in module neurokit2.misc)": [[36, "neurokit2.misc.find_groups"]], "find_knee() (in module neurokit2.misc)": [[36, "neurokit2.misc.find_knee"]], "find_outliers() (in module neurokit2.misc)": [[36, "neurokit2.misc.find_outliers"]], "find_plateau() (in module neurokit2.misc)": [[36, "neurokit2.misc.find_plateau"]], "listify() (in module neurokit2.misc)": [[36, "neurokit2.misc.listify"]], "neurokit2.misc": [[36, "module-neurokit2.misc"]], "parallel_run() (in module neurokit2.misc)": [[36, "neurokit2.misc.parallel_run"]], "progress_bar() (in module neurokit2.misc)": [[36, "neurokit2.misc.progress_bar"]], "replace() (in module neurokit2.misc)": [[36, "neurokit2.misc.replace"]], "spawn_random_state() (in module neurokit2.misc)": [[36, "neurokit2.misc.spawn_random_state"]], "neurokit2.ppg": [[37, "module-neurokit2.ppg"]], "ppg_analyze() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_analyze"]], "ppg_clean() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_clean"]], "ppg_eventrelated() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_eventrelated"]], "ppg_findpeaks() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_findpeaks"]], "ppg_intervalrelated() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_intervalrelated"]], "ppg_methods() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_methods"]], "ppg_peaks() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_peaks"]], "ppg_plot() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_plot"]], "ppg_process() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_process"]], "ppg_segment() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_segment"]], "ppg_simulate() (in module neurokit2.ppg)": [[37, "neurokit2.ppg.ppg_simulate"]], "neurokit2.rsp": [[38, "module-neurokit2.rsp"]], "rsp_amplitude() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_amplitude"]], "rsp_analyze() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_analyze"]], "rsp_clean() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_clean"]], "rsp_eventrelated() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_eventrelated"]], "rsp_findpeaks() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_findpeaks"]], "rsp_fixpeaks() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_fixpeaks"]], "rsp_intervalrelated() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_intervalrelated"]], "rsp_methods() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_methods"]], "rsp_peaks() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_peaks"]], "rsp_phase() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_phase"]], "rsp_plot() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_plot"]], "rsp_process() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_process"]], "rsp_rate() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_rate"]], "rsp_rav() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_rav"]], "rsp_rrv() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_rrv"]], "rsp_rvt() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_rvt"]], "rsp_simulate() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_simulate"]], "rsp_symmetry() (in module neurokit2.rsp)": [[38, "neurokit2.rsp.rsp_symmetry"]], "neurokit2.signal": [[39, "module-neurokit2.signal"]], "signal_autocor() (in module neurokit2)": [[39, "neurokit2.signal_autocor"]], "signal_binarize() (in module neurokit2)": [[39, "neurokit2.signal_binarize"]], "signal_changepoints() (in module neurokit2)": [[39, "neurokit2.signal_changepoints"]], "signal_decompose() (in module neurokit2)": [[39, "neurokit2.signal_decompose"]], "signal_detrend() (in module neurokit2)": [[39, "neurokit2.signal_detrend"]], "signal_distort() (in module neurokit2)": [[39, "neurokit2.signal_distort"]], "signal_fillmissing() (in module neurokit2)": [[39, "neurokit2.signal_fillmissing"]], "signal_fillmissing() (in module neurokit2.signal)": [[39, "neurokit2.signal.signal_fillmissing"]], "signal_filter() (in module neurokit2)": [[39, "neurokit2.signal_filter"]], "signal_findpeaks() (in module neurokit2)": [[39, "neurokit2.signal_findpeaks"]], "signal_fixpeaks() (in module neurokit2)": [[39, "neurokit2.signal_fixpeaks"]], "signal_flatline() (in module neurokit2)": [[39, "neurokit2.signal_flatline"]], "signal_formatpeaks() (in module neurokit2.signal)": [[39, "neurokit2.signal.signal_formatpeaks"]], "signal_interpolate() (in module neurokit2)": [[39, "neurokit2.signal_interpolate"]], "signal_merge() (in module neurokit2)": [[39, "neurokit2.signal_merge"]], "signal_noise() (in module neurokit2)": [[39, "neurokit2.signal_noise"]], "signal_period() (in module neurokit2)": [[39, "neurokit2.signal_period"]], "signal_phase() (in module neurokit2)": [[39, "neurokit2.signal_phase"]], "signal_plot() (in module neurokit2)": [[39, "neurokit2.signal_plot"]], "signal_power() (in module neurokit2)": [[39, "neurokit2.signal_power"]], "signal_psd() (in module neurokit2)": [[39, "neurokit2.signal_psd"]], "signal_rate() (in module neurokit2)": [[39, "neurokit2.signal_rate"]], "signal_recompose() (in module neurokit2)": [[39, "neurokit2.signal_recompose"]], "signal_resample() (in module neurokit2)": [[39, "neurokit2.signal_resample"]], "signal_sanitize() (in module neurokit2)": [[39, "neurokit2.signal_sanitize"]], "signal_simulate() (in module neurokit2)": [[39, "neurokit2.signal_simulate"]], "signal_smooth() (in module neurokit2)": [[39, "neurokit2.signal_smooth"]], "signal_surrogate() (in module neurokit2)": [[39, "neurokit2.signal_surrogate"]], "signal_synchrony() (in module neurokit2)": [[39, "neurokit2.signal_synchrony"]], "signal_timefrequency() (in module neurokit2)": [[39, "neurokit2.signal_timefrequency"]], "signal_zerocrossings() (in module neurokit2)": [[39, "neurokit2.signal_zerocrossings"]], "cluster() (in module neurokit2)": [[40, "neurokit2.cluster"]], "cluster_findnumber() (in module neurokit2)": [[40, "neurokit2.cluster_findnumber"]], "cluster_quality() (in module neurokit2)": [[40, "neurokit2.cluster_quality"]], "cor() (in module neurokit2)": [[40, "neurokit2.cor"]], "density() (in module neurokit2)": [[40, "neurokit2.density"]], "density_bandwidth() (in module neurokit2.stats)": [[40, "neurokit2.stats.density_bandwidth"]], "distance() (in module neurokit2)": [[40, "neurokit2.distance"]], "fit_error() (in module neurokit2)": [[40, "neurokit2.fit_error"]], "fit_loess() (in module neurokit2)": [[40, "neurokit2.fit_loess"]], "fit_mixture() (in module neurokit2)": [[40, "neurokit2.fit_mixture"]], "fit_mse() (in module neurokit2.stats)": [[40, "neurokit2.stats.fit_mse"]], "fit_polynomial() (in module neurokit2)": [[40, "neurokit2.fit_polynomial"]], "fit_polynomial_findorder() (in module neurokit2.stats)": [[40, "neurokit2.stats.fit_polynomial_findorder"]], "fit_r2() (in module neurokit2.stats)": [[40, "neurokit2.stats.fit_r2"]], "fit_rmse() (in module neurokit2.stats)": [[40, "neurokit2.stats.fit_rmse"]], "hdi() (in module neurokit2)": [[40, "neurokit2.hdi"]], "mad() (in module neurokit2)": [[40, "neurokit2.mad"]], "neurokit2.stats": [[40, "module-neurokit2.stats"]], "rescale() (in module neurokit2)": [[40, "neurokit2.rescale"]], "standardize() (in module neurokit2)": [[40, "neurokit2.standardize"]], "summary_plot() (in module neurokit2)": [[40, "neurokit2.summary_plot"]], "video_face() (in module neurokit2.video)": [[41, "neurokit2.video.video_face"]], "video_plot() (in module neurokit2.video)": [[41, "neurokit2.video.video_plot"]], "video_ppg() (in module neurokit2.video)": [[41, "neurokit2.video.video_ppg"]], "video_skin() (in module neurokit2.video)": [[41, "neurokit2.video.video_skin"]]}}) \ No newline at end of file +Search.setIndex({"docnames": ["authors", "cite_us", "examples/bio_custom/bio_custom", "examples/bio_eventrelated/bio_eventrelated", "examples/bio_intervalrelated/bio_intervalrelated", "examples/ecg_delineate/ecg_delineate", "examples/ecg_edr/ecg_edr", "examples/ecg_generate_12leads/ecg_generate_12leads", "examples/ecg_heartbeats/ecg_heartbeats", "examples/ecg_hrv/ecg_hrv", 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[[39, "peaks"]], "signal_findpeaks()": [[39, "signal-findpeaks"]], "signal_fixpeaks()": [[39, "signal-fixpeaks"]], "signal_autocor()": [[39, "signal-autocor"]], "signal_changepoints()": [[39, "signal-changepoints"]], "signal_period()": [[39, "signal-period"]], "signal_phase()": [[39, "signal-phase"]], "signal_plot()": [[39, "signal-plot"]], "signal_power()": [[39, "signal-power"]], "signal_psd()": [[39, "signal-psd"]], "signal_rate()": [[39, "signal-rate"]], "signal_smooth()": [[39, "signal-smooth"]], "signal_synchrony()": [[39, "signal-synchrony"]], "signal_timefrequency()": [[39, "signal-timefrequency"]], "signal_zerocrossings()": [[39, "signal-zerocrossings"]], "Stats": [[40, "stats"]], "correlation()": [[40, "correlation"]], "density()": [[40, "density"]], "distance()": [[40, "distance"]], "hdi()": [[40, "hdi"]], "mad()": [[40, "mad"]], "rescale()": [[40, "rescale"]], "standardize()": [[40, "standardize"]], "summary()": [[40, "summary"]], "Clustering": [[40, "clustering"]], "cluster()": [[40, "cluster"]], "cluster_findnumber()": [[40, "cluster-findnumber"]], "cluster_quality()": [[40, "cluster-quality"]], "Indices of fit": [[40, "indices-of-fit"]], "fit_error()": [[40, "fit-error"]], "fit_loess()": [[40, "fit-loess"]], "fit_mixture()": [[40, "fit-mixture"]], "fit_polynomial()": [[40, "fit-polynomial"]], "Video Analysis": [[41, "video-analysis"]], "video_plot()": [[41, "video-plot"]], "video_face()": [[41, "video-face"]], "video_skin()": [[41, "video-skin"]], "video_ppg()": [[41, "video-ppg"]], "Neurophysiological Data Analysis with NeuroKit2": [[42, "neurophysiological-data-analysis-with-neurokit2"]], "Home": [[42, "home"]], "Menu": [[42, null]], "Popularity": [[42, "popularity"], [44, "popularity"]], "Used at": [[42, "used-at"], [44, "used-at"]], "Disclaimer": [[42, "disclaimer"], [44, "disclaimer"]], "Installation": [[43, "installation"]], "You don\u2019t have Python": [[43, "you-don-t-have-python"]], "Python + VS code": [[43, "python-vs-code"]], "Winpython": [[43, "winpython"]], "Miniconda or Anaconda": [[43, "miniconda-or-anaconda"]], "From conda": [[43, "from-conda"]], "Overview": [[44, "overview"]], "Quick Example": [[44, "quick-example"]], "Download": [[44, "download"]], "Contributing": [[44, "contributing"]], "Documentation": [[44, "documentation"]], "General": [[44, "general"]], "Citation": [[44, "citation"]], "Physiological Data Preprocessing": [[44, "physiological-data-preprocessing"]], "Simulate physiological signals": [[44, "simulate-physiological-signals"]], "Electrodermal Activity (EDA/GSR)": [[44, "electrodermal-activity-eda-gsr"]], "Cardiac activity (ECG)": [[44, "cardiac-activity-ecg"]], "Photoplethysmography (PPG/BVP)": [[44, "photoplethysmography-ppg-bvp"]], "Electrooculography (EOG)": [[44, "electrooculography-eog"]], "Electrogastrography (EGG)": [[44, "electrogastrography-egg"]], "Physiological Data Analysis": [[44, "physiological-data-analysis"]], "Event-related": [[44, "event-related"]], "Interval-related": [[44, "interval-related"]], "ECG Delineation": [[44, "ecg-delineation"]], "Complexity (Entropy, Fractal Dimensions, \u2026)": [[44, "complexity-entropy-fractal-dimensions"]], "Signal Decomposition": [[44, "signal-decomposition"]], "Signal Power Spectrum Density (PSD)": [[44, "signal-power-spectrum-density-psd"]], "Statistics": [[44, "statistics"]], "Contributing guide": [[45, "contributing-guide"]], "Why contribute to NeuroKit?": [[45, "why-contribute-to-neurokit"]], "NeuroKit\u2019s style": [[45, "neurokit-s-style"]], "Structure and code": [[45, "structure-and-code"]], "Naming conventions": [[45, "naming-conventions"]], "Run code checks": [[45, "run-code-checks"]], "Development workflow": [[45, "development-workflow"]], "Understanding NeuroKit": [[45, "understanding-neurokit"]], "1. Documentation website": [[45, "documentation-website"]], "2. The source on Github": [[45, "the-source-on-github"]], "How to use GitHub to contribute": [[45, "how-to-use-github-to-contribute"]], "Step 1: Fork the repo": [[45, "step-1-fork-the-repo"]], "Step 2: Clone it": [[45, "step-2-clone-it"]], "Step 3: Improve it": [[45, "step-3-improve-it"]], "Step 4: Commit it and push it": [[45, "step-4-commit-it-and-push-it"]], "Step 4: Create pull request": [[45, "step-4-create-pull-request"]], "Step 5: Let\u2019s do it": [[45, "step-5-let-s-do-it"]], "Ideas for contributions": [[45, "ideas-for-contributions"]], "Talk about it": [[45, "talk-about-it"]], "Look for \u201cgood first contribution\u201d issues": [[45, "look-for-good-first-contribution-issues"]], "Improving documentation": [[45, "improving-documentation"]], "Adding tests": [[45, "adding-tests"]], "Adding examples and tutorials": [[45, "adding-examples-and-tutorials"]], "Resources": [[46, "resources"]], "Learn Python in 10 minutes": [[47, "learn-python-in-10-minutes"]], "Setup": [[47, "setup"]], "Variables": [[47, "variables"]], "Data types": [[47, "data-types"]], "Lists and dictionaries": [[47, "lists-and-dictionaries"]], "Basic indexing": [[47, "basic-indexing"]], "Indexing starts from 0": [[47, "indexing-starts-from-0"]], "Control flow (if and else)": [[47, "control-flow-if-and-else"]], "For loops": [[47, "for-loops"]], "Packages": [[47, "packages"]], "Lists vs. vectors (arrays)": [[47, "lists-vs-vectors-arrays"]], "Conditional indexing": [[47, "conditional-indexing"]], "Dataframes": [[47, "dataframes"]], "Reading data": [[47, "reading-data"]], "Next steps": [[47, "next-steps"]], "Recording good quality signals": [[48, "recording-good-quality-signals"]], "Recording": [[48, "recording"]], "Signal quality": [[48, "signal-quality"]], "Artifacts and Anomalies": [[48, "artifacts-and-anomalies"]], "Additional Resources": [[49, "additional-resources"]], "General Neuroimaging": [[49, "general-neuroimaging"]], "Optimal Selection of Delay and Embedding Dimension for EEG Complexity\nAnalysis": [[50, "optimal-selection-of-delay-and-embedding-dimension-for-eeg-complexity-analysis"]], "Introduction": [[50, "introduction"], [51, "introduction"], [52, "introduction"], [53, "introduction"]], "Methods": [[50, "methods"], [52, "methods"], [52, "id1"], [52, "id3"]], "Results": [[50, "results"], [51, "results"], [51, "id6"], [52, "results"], [52, "id2"], [52, "id4"], [53, "results"]], "Optimization of Delay": [[50, "optimization-of-delay"]], "Per Channel": [[50, "per-channel"], [50, "id1"]], "Attractors": [[50, "attractors"]], "Optimization of Dimension": [[50, "optimization-of-dimension"]], "Topological Clusters": [[50, "topological-clusters"]], "Discussion": [[50, "discussion"]], "References": [[50, "references"], [51, "references"], [52, "references"], [53, "references"]], "Benchmarking of ECG Preprocessing Methods": [[51, "benchmarking-of-ecg-preprocessing-methods"]], "Databases": [[51, "databases"]], "Glasgow University Database": [[51, "glasgow-university-database"]], "MIT-BIH Arrhythmia Database": [[51, "mit-bih-arrhythmia-database"]], "MIT-BIH Normal Sinus Rhythm Database": [[51, "mit-bih-normal-sinus-rhythm-database"]], "Lobachevsky University Electrocardiography Database": [[51, "lobachevsky-university-electrocardiography-database"]], "Fantasia Database": [[51, "fantasia-database"]], "Concanate them together": [[51, "concanate-them-together"]], "Study 1: Comparing Different R-Peaks Detection Algorithms": [[51, "study-1-comparing-different-r-peaks-detection-algorithms"]], "Procedure": [[51, "procedure"], [51, "id3"], [51, "id11"], [53, "procedure"]], "Setup Functions": [[51, "setup-functions"], [51, "id4"], [51, "id12"]], "Run the Benchmarking": [[51, "run-the-benchmarking"], [51, "id5"], [51, "id13"]], "Errors and bugs": [[51, "errors-and-bugs"]], "Computation Time": [[51, "computation-time"]], "Descriptive Statistics": [[51, "descriptive-statistics"], [51, "id1"], [51, "id8"]], "Statistical Modelling": [[51, "statistical-modelling"], [51, "id2"], [51, "id9"]], "Accuracy": [[51, "accuracy"], [51, "id7"]], "Conclusion": [[51, "conclusion"], [51, "id10"], [53, "conclusion"]], "Study 2: Normalization": [[51, "study-2-normalization"]], "Study 3: Low Frequency Trends Removal": [[51, "study-3-low-frequency-trends-removal"]], "Blink Template Estimation for Electrooculography (EOG)": [[52, "blink-template-estimation-for-electrooculography-eog"]], "Study 1: Initial Estimation": [[52, "study-1-initial-estimation"]], "Define Functions": [[52, "define-functions"]], "Study 2: Difference between Template and EOG Events": [[52, "study-2-difference-between-template-and-eog-events"]], "Study 3: Optimize the Parameters": [[52, "study-3-optimize-the-parameters"]], "An GAM-based Approach to EEG/ERP Analysis using Python and R": [[53, "an-gam-based-approach-to-eeg-erp-analysis-using-python-and-r"]], "ERP analysis using MNE-Python": [[53, "erp-analysis-using-mne-python"]], "Utility Functions": [[53, "utility-functions"]], "Visualize Average": [[53, "visualize-average"]], "Spline Regression": [[53, "spline-regression"]], "General Additive Model (GAM)": [[53, "general-additive-model-gam"]], "Using data from all the channels": [[53, "using-data-from-all-the-channels"]], "Studies": [[54, "studies"]]}, "indexentries": {"benchmark_ecg_preprocessing() (in module neurokit2)": [[21, "neurokit2.benchmark_ecg_preprocessing"]], "bio_analyze() (in module neurokit2)": [[22, "neurokit2.bio_analyze"]], "bio_process() (in module neurokit2)": [[22, "neurokit2.bio_process"]], "complexity() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity"]], "complexity_attractor() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_attractor"]], "complexity_coarsegraining() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_coarsegraining"]], "complexity_decorrelation() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_decorrelation"]], "complexity_delay() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_delay"]], "complexity_dimension() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_dimension"]], "complexity_embedding() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_embedding"]], "complexity_hjorth() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_hjorth"]], "complexity_k() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_k"]], "complexity_lempelziv() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_lempelziv"]], "complexity_lyapunov() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_lyapunov"]], "complexity_ordinalpatterns() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_ordinalpatterns"]], "complexity_relativeroughness() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_relativeroughness"]], "complexity_rqa() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_rqa"]], "complexity_simulate() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_simulate"]], "complexity_symbolize() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_symbolize"]], "complexity_tolerance() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.complexity_tolerance"]], "entropy_approximate() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_approximate"]], "entropy_attention() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_attention"]], "entropy_bubble() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_bubble"]], "entropy_cumulativeresidual() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_cumulativeresidual"]], "entropy_differential() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_differential"]], "entropy_dispersion() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_dispersion"]], "entropy_fuzzy() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_fuzzy"]], "entropy_grid() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_grid"]], "entropy_hierarchical() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_hierarchical"]], "entropy_increment() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_increment"]], "entropy_kl() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_kl"]], "entropy_maximum() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_maximum"]], "entropy_multiscale() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_multiscale"]], "entropy_ofentropy() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_ofentropy"]], "entropy_permutation() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_permutation"]], "entropy_phase() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_phase"]], "entropy_power() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_power"]], "entropy_quadratic() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_quadratic"]], "entropy_range() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_range"]], "entropy_rate() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_rate"]], "entropy_renyi() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_renyi"]], "entropy_sample() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_sample"]], "entropy_shannon() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_shannon"]], "entropy_shannon_joint() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_shannon_joint"]], "entropy_slope() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_slope"]], "entropy_spectral() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_spectral"]], "entropy_svd() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_svd"]], "entropy_symbolicdynamic() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_symbolicdynamic"]], "entropy_tsallis() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.entropy_tsallis"]], "fisher_information() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fisher_information"]], "fishershannon_information() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fishershannon_information"]], "fractal_correlation() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_correlation"]], "fractal_density() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_density"]], "fractal_dfa() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_dfa"]], "fractal_higuchi() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_higuchi"]], "fractal_hurst() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_hurst"]], "fractal_katz() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_katz"]], "fractal_linelength() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_linelength"]], "fractal_mandelbrot() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_mandelbrot"]], "fractal_nld() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_nld"]], "fractal_petrosian() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_petrosian"]], "fractal_psdslope() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_psdslope"]], "fractal_sevcik() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_sevcik"]], "fractal_tmf() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.fractal_tmf"]], "mutual_information() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.mutual_information"]], "recurrence_matrix() (in module neurokit2.complexity)": [[23, "neurokit2.complexity.recurrence_matrix"]], "data() (in module neurokit2.data)": [[24, "neurokit2.data.data"]], "download_from_url() (in module neurokit2.data)": [[24, "neurokit2.data.download_from_url"]], "download_zip() (in module neurokit2.data)": [[24, "neurokit2.data.download_zip"]], "module": [[24, "module-neurokit2.data"], [25, "module-neurokit2.ecg"], [26, "module-neurokit2.eda"], [27, "module-neurokit2.eeg"], [28, "module-neurokit2.emg"], [29, "module-neurokit2.eog"], [32, "module-neurokit2.hrv"], [36, "module-neurokit2.misc"], [37, "module-neurokit2.ppg"], [38, "module-neurokit2.rsp"], [39, "module-neurokit2.signal"], [40, "module-neurokit2.stats"]], "neurokit2.data": [[24, "module-neurokit2.data"]], "read_acqknowledge() (in module neurokit2.data)": [[24, "neurokit2.data.read_acqknowledge"]], "read_bitalino() (in module neurokit2.data)": [[24, "neurokit2.data.read_bitalino"]], "read_video() (in module neurokit2.data)": [[24, "neurokit2.data.read_video"]], "read_xdf() (in module neurokit2.data)": [[24, "neurokit2.data.read_xdf"]], "write_csv() (in module neurokit2.data)": [[24, "neurokit2.data.write_csv"]], "ecg_analyze() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_analyze"]], "ecg_clean() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_clean"]], "ecg_delineate() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_delineate"]], "ecg_eventrelated() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_eventrelated"]], "ecg_findpeaks() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_findpeaks"]], "ecg_intervalrelated() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_intervalrelated"]], "ecg_invert() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_invert"]], "ecg_peaks() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_peaks"]], "ecg_phase() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_phase"]], "ecg_plot() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_plot"]], "ecg_process() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_process"]], "ecg_quality() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_quality"]], "ecg_rate() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_rate"]], "ecg_rsp() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_rsp"]], "ecg_segment() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_segment"]], "ecg_simulate() (in module neurokit2.ecg)": [[25, "neurokit2.ecg.ecg_simulate"]], "neurokit2.ecg": [[25, "module-neurokit2.ecg"]], "eda_analyze() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_analyze"]], "eda_autocor() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_autocor"]], "eda_changepoints() (in module neurokit2.eda)": [[26, "neurokit2.eda.eda_changepoints"]], "eda_clean() (in module 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documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/studies/ecg_benchmark.html b/studies/ecg_benchmark.html index 9e888b7924..fa396df9c6 100644 --- a/studies/ecg_benchmark.html +++ b/studies/ecg_benchmark.html @@ -8,7 +8,7 @@ - Benchmarking of ECG Preprocessing Methods — NeuroKit2 0.2.8 documentation + Benchmarking of ECG Preprocessing Methods — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ - + @@ -138,8 +138,8 @@ - NeuroKit2 0.2.8 documentation - Home - + NeuroKit2 0.2.9 documentation - Home + diff --git a/studies/eog_blinktemplate.html b/studies/eog_blinktemplate.html index 396e24c193..064f2fa8f7 100644 --- a/studies/eog_blinktemplate.html +++ b/studies/eog_blinktemplate.html @@ -8,7 +8,7 @@ - Blink Template Estimation for Electrooculography (EOG) — NeuroKit2 0.2.8 documentation + Blink Template Estimation for Electrooculography (EOG) — NeuroKit2 0.2.9 documentation @@ -38,7 +38,7 @@ 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