eeg_processing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import mne\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from mne.preprocessing import ICA\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import data and store in pandas dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#eeg_data = pd.read_csv('5_blinks_2.csv')\n",
    "eeg_data = pd.read_csv('closed_relaxed_2.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We've stored timestamps (every 1/256th of a second) and voltage values for each electrode at each timestamp. Let's look at it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [],
   "source": [
    "eeg_data\n",
    "start_step = 0\n",
    "end_step = len(eeg_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This data was recorded without any 'AUX' electrode, so let's delete the meaningless data. The timestamp is also arbitrary, so let's normalize it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamps</th>\n",
       "      <th>TP9</th>\n",
       "      <th>AF7</th>\n",
       "      <th>AF8</th>\n",
       "      <th>TP10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000</td>\n",
       "      <td>39.062</td>\n",
       "      <td>41.992</td>\n",
       "      <td>33.691</td>\n",
       "      <td>41.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.004</td>\n",
       "      <td>36.133</td>\n",
       "      <td>41.504</td>\n",
       "      <td>29.785</td>\n",
       "      <td>37.598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.008</td>\n",
       "      <td>39.062</td>\n",
       "      <td>37.109</td>\n",
       "      <td>29.785</td>\n",
       "      <td>42.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.012</td>\n",
       "      <td>29.785</td>\n",
       "      <td>33.203</td>\n",
       "      <td>22.461</td>\n",
       "      <td>36.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.016</td>\n",
       "      <td>20.996</td>\n",
       "      <td>31.738</td>\n",
       "      <td>15.137</td>\n",
       "      <td>23.438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.020</td>\n",
       "      <td>20.508</td>\n",
       "      <td>32.227</td>\n",
       "      <td>13.672</td>\n",
       "      <td>21.484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.024</td>\n",
       "      <td>23.926</td>\n",
       "      <td>31.738</td>\n",
       "      <td>14.648</td>\n",
       "      <td>25.879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.028</td>\n",
       "      <td>30.273</td>\n",
       "      <td>37.109</td>\n",
       "      <td>14.648</td>\n",
       "      <td>31.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.031</td>\n",
       "      <td>24.414</td>\n",
       "      <td>40.039</td>\n",
       "      <td>9.766</td>\n",
       "      <td>30.762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.035</td>\n",
       "      <td>23.438</td>\n",
       "      <td>35.156</td>\n",
       "      <td>6.836</td>\n",
       "      <td>23.926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.039</td>\n",
       "      <td>27.344</td>\n",
       "      <td>38.086</td>\n",
       "      <td>7.324</td>\n",
       "      <td>21.484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.043</td>\n",
       "      <td>30.273</td>\n",
       "      <td>40.039</td>\n",
       "      <td>13.672</td>\n",
       "      <td>20.020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.046</td>\n",
       "      <td>22.949</td>\n",
       "      <td>35.645</td>\n",
       "      <td>15.137</td>\n",
       "      <td>14.648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.049</td>\n",
       "      <td>25.391</td>\n",
       "      <td>34.668</td>\n",
       "      <td>7.324</td>\n",
       "      <td>8.789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.053</td>\n",
       "      <td>37.109</td>\n",
       "      <td>30.762</td>\n",
       "      <td>1.953</td>\n",
       "      <td>13.184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.057</td>\n",
       "      <td>37.109</td>\n",
       "      <td>25.879</td>\n",
       "      <td>9.766</td>\n",
       "      <td>18.555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.061</td>\n",
       "      <td>32.227</td>\n",
       "      <td>26.855</td>\n",
       "      <td>18.066</td>\n",
       "      <td>17.090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.065</td>\n",
       "      <td>33.691</td>\n",
       "      <td>30.273</td>\n",
       "      <td>23.926</td>\n",
       "      <td>24.414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.069</td>\n",
       "      <td>45.410</td>\n",
       "      <td>35.645</td>\n",
       "      <td>34.668</td>\n",
       "      <td>35.156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.073</td>\n",
       "      <td>55.664</td>\n",
       "      <td>41.016</td>\n",
       "      <td>41.504</td>\n",
       "      <td>41.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.077</td>\n",
       "      <td>57.129</td>\n",
       "      <td>42.969</td>\n",
       "      <td>42.480</td>\n",
       "      <td>42.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.081</td>\n",
       "      <td>58.594</td>\n",
       "      <td>43.457</td>\n",
       "      <td>42.969</td>\n",
       "      <td>47.363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.085</td>\n",
       "      <td>57.129</td>\n",
       "      <td>42.480</td>\n",
       "      <td>40.039</td>\n",
       "      <td>48.828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.088</td>\n",
       "      <td>49.805</td>\n",
       "      <td>40.039</td>\n",
       "      <td>41.992</td>\n",
       "      <td>50.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.090</td>\n",
       "      <td>46.387</td>\n",
       "      <td>37.109</td>\n",
       "      <td>43.945</td>\n",
       "      <td>52.246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.094</td>\n",
       "      <td>41.992</td>\n",
       "      <td>29.297</td>\n",
       "      <td>37.109</td>\n",
       "      <td>43.945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.098</td>\n",
       "      <td>40.527</td>\n",
       "      <td>26.367</td>\n",
       "      <td>33.691</td>\n",
       "      <td>37.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.102</td>\n",
       "      <td>37.109</td>\n",
       "      <td>26.855</td>\n",
       "      <td>29.785</td>\n",
       "      <td>34.668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.106</td>\n",
       "      <td>28.320</td>\n",
       "      <td>22.461</td>\n",
       "      <td>22.949</td>\n",
       "      <td>26.367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.110</td>\n",
       "      <td>21.484</td>\n",
       "      <td>19.043</td>\n",
       "      <td>20.996</td>\n",
       "      <td>19.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8934</th>\n",
       "      <td>34.898</td>\n",
       "      <td>42.969</td>\n",
       "      <td>26.367</td>\n",
       "      <td>33.691</td>\n",
       "      <td>37.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8935</th>\n",
       "      <td>34.902</td>\n",
       "      <td>38.574</td>\n",
       "      <td>28.809</td>\n",
       "      <td>37.598</td>\n",
       "      <td>42.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8936</th>\n",
       "      <td>34.906</td>\n",
       "      <td>42.480</td>\n",
       "      <td>28.809</td>\n",
       "      <td>39.062</td>\n",
       "      <td>51.758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8937</th>\n",
       "      <td>34.910</td>\n",
       "      <td>48.340</td>\n",
       "      <td>25.879</td>\n",
       "      <td>37.598</td>\n",
       "      <td>57.129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8938</th>\n",
       "      <td>34.914</td>\n",
       "      <td>49.316</td>\n",
       "      <td>29.785</td>\n",
       "      <td>37.598</td>\n",
       "      <td>49.316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8939</th>\n",
       "      <td>34.918</td>\n",
       "      <td>45.898</td>\n",
       "      <td>29.297</td>\n",
       "      <td>41.016</td>\n",
       "      <td>40.527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8940</th>\n",
       "      <td>34.920</td>\n",
       "      <td>41.992</td>\n",
       "      <td>27.832</td>\n",
       "      <td>40.527</td>\n",
       "      <td>39.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8941</th>\n",
       "      <td>34.924</td>\n",
       "      <td>48.340</td>\n",
       "      <td>27.344</td>\n",
       "      <td>40.039</td>\n",
       "      <td>44.922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8942</th>\n",
       "      <td>34.928</td>\n",
       "      <td>46.387</td>\n",
       "      <td>26.855</td>\n",
       "      <td>44.434</td>\n",
       "      <td>44.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8943</th>\n",
       "      <td>34.932</td>\n",
       "      <td>35.645</td>\n",
       "      <td>28.809</td>\n",
       "      <td>42.969</td>\n",
       "      <td>36.621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8944</th>\n",
       "      <td>34.936</td>\n",
       "      <td>32.715</td>\n",
       "      <td>29.297</td>\n",
       "      <td>41.504</td>\n",
       "      <td>39.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8945</th>\n",
       "      <td>34.940</td>\n",
       "      <td>32.227</td>\n",
       "      <td>30.273</td>\n",
       "      <td>41.504</td>\n",
       "      <td>38.574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8946</th>\n",
       "      <td>34.943</td>\n",
       "      <td>35.645</td>\n",
       "      <td>33.691</td>\n",
       "      <td>41.016</td>\n",
       "      <td>26.367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8947</th>\n",
       "      <td>34.947</td>\n",
       "      <td>36.621</td>\n",
       "      <td>31.738</td>\n",
       "      <td>42.480</td>\n",
       "      <td>20.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8948</th>\n",
       "      <td>34.951</td>\n",
       "      <td>30.273</td>\n",
       "      <td>33.691</td>\n",
       "      <td>38.574</td>\n",
       "      <td>15.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8949</th>\n",
       "      <td>34.955</td>\n",
       "      <td>30.273</td>\n",
       "      <td>31.738</td>\n",
       "      <td>35.645</td>\n",
       "      <td>13.184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8950</th>\n",
       "      <td>34.959</td>\n",
       "      <td>41.504</td>\n",
       "      <td>30.762</td>\n",
       "      <td>39.551</td>\n",
       "      <td>20.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8951</th>\n",
       "      <td>34.963</td>\n",
       "      <td>36.133</td>\n",
       "      <td>36.133</td>\n",
       "      <td>39.551</td>\n",
       "      <td>15.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8952</th>\n",
       "      <td>34.965</td>\n",
       "      <td>30.273</td>\n",
       "      <td>38.086</td>\n",
       "      <td>36.621</td>\n",
       "      <td>16.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8953</th>\n",
       "      <td>34.969</td>\n",
       "      <td>32.227</td>\n",
       "      <td>38.086</td>\n",
       "      <td>35.645</td>\n",
       "      <td>24.414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8954</th>\n",
       "      <td>34.973</td>\n",
       "      <td>31.738</td>\n",
       "      <td>35.156</td>\n",
       "      <td>31.738</td>\n",
       "      <td>22.949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8955</th>\n",
       "      <td>34.977</td>\n",
       "      <td>26.367</td>\n",
       "      <td>35.156</td>\n",
       "      <td>32.715</td>\n",
       "      <td>21.973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8956</th>\n",
       "      <td>34.981</td>\n",
       "      <td>26.367</td>\n",
       "      <td>34.180</td>\n",
       "      <td>34.668</td>\n",
       "      <td>20.020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8957</th>\n",
       "      <td>34.985</td>\n",
       "      <td>37.598</td>\n",
       "      <td>36.133</td>\n",
       "      <td>36.133</td>\n",
       "      <td>29.785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8958</th>\n",
       "      <td>34.989</td>\n",
       "      <td>45.898</td>\n",
       "      <td>37.109</td>\n",
       "      <td>38.086</td>\n",
       "      <td>39.062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8959</th>\n",
       "      <td>34.993</td>\n",
       "      <td>39.551</td>\n",
       "      <td>32.715</td>\n",
       "      <td>36.621</td>\n",
       "      <td>36.621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8960</th>\n",
       "      <td>34.997</td>\n",
       "      <td>34.180</td>\n",
       "      <td>31.250</td>\n",
       "      <td>32.715</td>\n",
       "      <td>34.180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8961</th>\n",
       "      <td>35.001</td>\n",
       "      <td>41.992</td>\n",
       "      <td>33.691</td>\n",
       "      <td>29.785</td>\n",
       "      <td>41.992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8962</th>\n",
       "      <td>35.004</td>\n",
       "      <td>39.551</td>\n",
       "      <td>31.738</td>\n",
       "      <td>28.320</td>\n",
       "      <td>44.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8963</th>\n",
       "      <td>35.008</td>\n",
       "      <td>36.133</td>\n",
       "      <td>29.785</td>\n",
       "      <td>25.879</td>\n",
       "      <td>35.645</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8964 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      timestamps     TP9     AF7     AF8    TP10\n",
       "0          0.000  39.062  41.992  33.691  41.016\n",
       "1          0.004  36.133  41.504  29.785  37.598\n",
       "2          0.008  39.062  37.109  29.785  42.480\n",
       "3          0.012  29.785  33.203  22.461  36.133\n",
       "4          0.016  20.996  31.738  15.137  23.438\n",
       "5          0.020  20.508  32.227  13.672  21.484\n",
       "6          0.024  23.926  31.738  14.648  25.879\n",
       "7          0.028  30.273  37.109  14.648  31.738\n",
       "8          0.031  24.414  40.039   9.766  30.762\n",
       "9          0.035  23.438  35.156   6.836  23.926\n",
       "10         0.039  27.344  38.086   7.324  21.484\n",
       "11         0.043  30.273  40.039  13.672  20.020\n",
       "12         0.046  22.949  35.645  15.137  14.648\n",
       "13         0.049  25.391  34.668   7.324   8.789\n",
       "14         0.053  37.109  30.762   1.953  13.184\n",
       "15         0.057  37.109  25.879   9.766  18.555\n",
       "16         0.061  32.227  26.855  18.066  17.090\n",
       "17         0.065  33.691  30.273  23.926  24.414\n",
       "18         0.069  45.410  35.645  34.668  35.156\n",
       "19         0.073  55.664  41.016  41.504  41.504\n",
       "20         0.077  57.129  42.969  42.480  42.480\n",
       "21         0.081  58.594  43.457  42.969  47.363\n",
       "22         0.085  57.129  42.480  40.039  48.828\n",
       "23         0.088  49.805  40.039  41.992  50.781\n",
       "24         0.090  46.387  37.109  43.945  52.246\n",
       "25         0.094  41.992  29.297  37.109  43.945\n",
       "26         0.098  40.527  26.367  33.691  37.109\n",
       "27         0.102  37.109  26.855  29.785  34.668\n",
       "28         0.106  28.320  22.461  22.949  26.367\n",
       "29         0.110  21.484  19.043  20.996  19.531\n",
       "...          ...     ...     ...     ...     ...\n",
       "8934      34.898  42.969  26.367  33.691  37.109\n",
       "8935      34.902  38.574  28.809  37.598  42.480\n",
       "8936      34.906  42.480  28.809  39.062  51.758\n",
       "8937      34.910  48.340  25.879  37.598  57.129\n",
       "8938      34.914  49.316  29.785  37.598  49.316\n",
       "8939      34.918  45.898  29.297  41.016  40.527\n",
       "8940      34.920  41.992  27.832  40.527  39.551\n",
       "8941      34.924  48.340  27.344  40.039  44.922\n",
       "8942      34.928  46.387  26.855  44.434  44.434\n",
       "8943      34.932  35.645  28.809  42.969  36.621\n",
       "8944      34.936  32.715  29.297  41.504  39.551\n",
       "8945      34.940  32.227  30.273  41.504  38.574\n",
       "8946      34.943  35.645  33.691  41.016  26.367\n",
       "8947      34.947  36.621  31.738  42.480  20.996\n",
       "8948      34.951  30.273  33.691  38.574  15.625\n",
       "8949      34.955  30.273  31.738  35.645  13.184\n",
       "8950      34.959  41.504  30.762  39.551  20.996\n",
       "8951      34.963  36.133  36.133  39.551  15.625\n",
       "8952      34.965  30.273  38.086  36.621  16.113\n",
       "8953      34.969  32.227  38.086  35.645  24.414\n",
       "8954      34.973  31.738  35.156  31.738  22.949\n",
       "8955      34.977  26.367  35.156  32.715  21.973\n",
       "8956      34.981  26.367  34.180  34.668  20.020\n",
       "8957      34.985  37.598  36.133  36.133  29.785\n",
       "8958      34.989  45.898  37.109  38.086  39.062\n",
       "8959      34.993  39.551  32.715  36.621  36.621\n",
       "8960      34.997  34.180  31.250  32.715  34.180\n",
       "8961      35.001  41.992  33.691  29.785  41.992\n",
       "8962      35.004  39.551  31.738  28.320  44.434\n",
       "8963      35.008  36.133  29.785  25.879  35.645\n",
       "\n",
       "[8964 rows x 5 columns]"
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del eeg_data['Right AUX']\n",
    "eeg_data['timestamps'] -= eeg_data['timestamps'][0]\n",
    "eeg_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we could also have specified the columns we wanted to read in the csv_read() function with the param 'usecols'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#space out plots\n",
    "channels = ['TP9','TP10','AF7','AF8']\n",
    "adjust = np.arange(0,400,100) #space out the channels\n",
    "eeg_data_for_plot = eeg_data # make a copy for plot\n",
    "eeg_data_for_plot.loc[:,channels] += adjust"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iKOD3bkcpvZlDzgrnTXTBwXxlY2/DLUJY51t16+CpXfZDX6eOYqFMjUYDXVAl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\nABg2eysA4MT5K460T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g2utvx2An1bJ0rba2oFBDndB1StlSMrWBRv+A3xkSFo3iwc5RVn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\nCWj+H4hbhj6sgKXeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112915a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = [10, 8]\n",
    "eeg_data_for_plot.loc[start_step:end_step,channels].plot()\n",
    "plt.yticks([]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Ok, we can clearly see the 5 blinks... Now to remove them with mne!\n",
    "\n",
    "First we convert the channel data to a raw numpy array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "raw_data = eeg_data.loc[:,channels]\n",
    "raw_data = raw_data.values\n",
    "raw_data = raw_data[start_step:end_step,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating RawArray with float64 data, n_channels=4, n_times=8964\n",
      "    Range : 0 ... 8963 =      0.000 ...    35.012 secs\n",
      "Ready.\n",
      "Setting up band-pass filter from 1 - 1e+02 Hz\n",
      "l_trans_bandwidth chosen to be 1.0 Hz\n",
      "h_trans_bandwidth chosen to be 25.0 Hz\n",
      "Filter length of 1690 samples (6.602 sec) selected\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<RawArray  |  None, n_channels x n_times : 4 x 8964 (35.0 sec), ~292 kB, data loaded>"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfreq = 256  # Hz\n",
    "channel_types = ['eeg', 'eeg', 'eeg' , 'eeg']\n",
    "ch_names = channels\n",
    "# convert to volts for mne\n",
    "raw_data *= 0.000001\n",
    "# Create the info structure needed by MNE\n",
    "info = mne.create_info(ch_names, sfreq, channel_types)\n",
    "# Finally, create the Raw object\n",
    "raw = mne.io.RawArray(raw_data.T, info)\n",
    "montage = mne.channels.read_montage('standard_1020',ch_names=['TP9','TP10','AF7','AF8'])\n",
    "raw.set_montage(montage)\n",
    "# 1Hz high pass is often helpful for fitting ICA\n",
    "raw.filter(1., 100.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the data can be recovered from this raw mne object at any time like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 8964)"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data, times = raw[:]\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting ICA to data using 4 channels. \n",
      "Please be patient, this may take some time\n",
      "Inferring max_pca_components from picks.\n",
      "Selection by number: 4 components\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<ICA  |  raw data decomposition, fit (fastica): 8964 samples, 4 components, channels used: \"eeg\">"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4 components chosen arbitrarily.. can't do more than # channels\n",
    "ica = ICA(n_components=4,method='fastica')\n",
    "# tell mne what kind of data it's dealing with\n",
    "picks_eeg = mne.pick_types(raw.info, meg=False, eeg=True, eog=False)\n",
    "# fit the components\n",
    "ica.fit(raw, picks=picks_eeg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now plot the components.. we can clearly see the 5 blinks in component 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MqH6SD3RZr8805OG6cEHiwWx1dXXnf7/88suaPHmyRo0apfHjx2vmzJnau3dvyX1nzZql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\nCtNoJj3UgaUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112995128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ica.plot_sources(raw);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we use the apply method to exlude that component and reconstruct the signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transforming to ICA space (4 components)\n",
      "Zeroing out 1 ICA components\n"
     ]
    }
   ],
   "source": [
    "clean_data = ica.apply(raw, exclude=[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8964,)\n",
      "(4, 8964)\n"
     ]
    }
   ],
   "source": [
    "data, times = clean_data[:]\n",
    "# convert from volts \n",
    "data /= 0.000001\n",
    "print(np.shape(times))\n",
    "print(np.shape(data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the clean data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "eeg_data_clean = pd.DataFrame(data.T,columns=channels)\n",
    "eeg_data_clean_plot = eeg_data_clean # make a copy for plot\n",
    "eeg_data_clean_plot.loc[:,channels] += adjust"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8+l1zjalqptY6Ag2XL0Odz903lADAv1FDtzP5Gq1ehdhFC+HfuDHiEhNQrXt3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112cc4a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2)\n",
    "plt.rcParams['figure.figsize'] = [10, 8]\n",
    "eeg_data_for_plot.loc[start_step:end_step,channels].plot(ax=axes[0])\n",
    "eeg_data_clean_plot.loc[:,channels].plot(ax=axes[1])\n",
    "plt.yticks(np.arange(-225,425,1),[]); #idk how to plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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