Ventiliser is a tool for segmenting pressure and flow waveforms from ventilators into breaths. It also attempts to find the position of breath sub-phases. Ventiliser was developed on data from neonates ventialted on Draeger ventilators.
Please see the accompanying paper "Computational analysis of neonatal ventilator waveforms and loops" for details
Ventiliser depends on numpy, pandas, scipy, atpbar, and PyQT5. Installation via pip is recommended.
pip install ventiliserAn example of a simple script can be seen below
from ventiliser.GeneralPipeline import GeneralPipeline
pipeline = GeneralPipeline()
pipeline.configure() # For information on parameters you can configure see docs
pipeline.load_data("path to data", [0,1,2]) # [0,1,2] refers to the columns in your data file corresponding to time, pressure, flow
pipeline.process() # You can suppress log and output files by setting them false. See docs for more information
# To access the breaths programmatically you can do as follows
pipeline.labeller.get_breaths_raw()
# To access the pressure and state labels programmatically you can do as follows
pipeline.mapper.p_labels
pipeline.mapper.f_labelsPlease view the docs for more detailed information on optional parameters.
For questions please email
[email protected] (Dr. Gusztav Belteki)
[email protected] (David Chong)
Copyright (c) 2020 David Chong Tian Wei, Gusztav Belteki
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