|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": null, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [], |
| 8 | + "source": [ |
| 9 | + "# 指定データのaux_note(rhythm change)がついてる部分を切り出して波形表示する\n", |
| 10 | + "# とりあえず前後2秒を切り出したつもり" |
| 11 | + ] |
| 12 | + }, |
| 13 | + { |
| 14 | + "cell_type": "code", |
| 15 | + "execution_count": null, |
| 16 | + "metadata": {}, |
| 17 | + "outputs": [], |
| 18 | + "source": [ |
| 19 | + "import os\n", |
| 20 | + "import glob\n", |
| 21 | + "import wfdb\n", |
| 22 | + "from IPython.display import display\n", |
| 23 | + "import matplotlib\n", |
| 24 | + "import matplotlib.pyplot as plt\n", |
| 25 | + "font = {'family':'IPAexGothic'}\n", |
| 26 | + "matplotlib.rc('font', **font)" |
| 27 | + ] |
| 28 | + }, |
| 29 | + { |
| 30 | + "cell_type": "code", |
| 31 | + "execution_count": null, |
| 32 | + "metadata": {}, |
| 33 | + "outputs": [], |
| 34 | + "source": [ |
| 35 | + "def get_sample_aux(filename):\n", |
| 36 | + " annotation = wfdb.rdann('data/%s'%filename, 'atr')\n", |
| 37 | + " header = wfdb.rdheader('data/%s'%filename)\n", |
| 38 | + " sample_list = annotation.sample.tolist()\n", |
| 39 | + " dic = dict(zip(sample_list, annotation.aux_note))\n", |
| 40 | + " # print(header.sig_len)\n", |
| 41 | + " for key in sorted(dic.keys()):\n", |
| 42 | + " sampfrom = max(0, key - annotation.fs*2)\n", |
| 43 | + " sampto = min(key + annotation.fs*2, header.sig_len)\n", |
| 44 | + " record = wfdb.rdrecord('data/%s'%filename, sampfrom = sampfrom, sampto = sampto)\n", |
| 45 | + " if dic[key] == '(BI\\x00':\n", |
| 46 | + " meaning = '1度房室ブロック(first degree heart block)'\n", |
| 47 | + " elif dic[key] == '(AFIB\\x00':\n", |
| 48 | + " meaning = '心房細動(atrial fibrillation)'\n", |
| 49 | + " elif dic[key] == '(ASYS\\x00':\n", |
| 50 | + " meaning = '心静止(asystole)'\n", |
| 51 | + " elif dic[key] == '(B\\x00':\n", |
| 52 | + " meaning = '心室二段脈(ventricular bigeminy)'\n", |
| 53 | + " elif dic[key] == '(HGEA\\x00':\n", |
| 54 | + " meaning = '異所性心室興奮(high grade ventricular ectopic activity)'\n", |
| 55 | + " elif dic[key] == '(N\\x00' or dic[key] == '(NSR\\x00':\n", |
| 56 | + " meaning = '正常洞調律(normal sinus rhythm)'\n", |
| 57 | + " elif dic[key] == '(NOD\\x00':\n", |
| 58 | + " meaning = '房室結節性リズム (nodal (\"AV junctional\") rhythm)'\n", |
| 59 | + " elif dic[key] == '(NOISE\\x00':\n", |
| 60 | + " meaning = 'ノイズ(noise)'\n", |
| 61 | + " elif dic[key] == '(PM\\x00':\n", |
| 62 | + " meaning = 'ペースメーカー (pacemaker(paced rhythm))'\n", |
| 63 | + " elif dic[key] == '(SBR\\x00':\n", |
| 64 | + " meaning = '洞性徐脈 (sinus bradycardia)'\n", |
| 65 | + " elif dic[key] == '(SVTA\\x00':\n", |
| 66 | + " meaning = '上室性頻脈性不整脈 (supraventricular tachyarrhythmia)'\n", |
| 67 | + " elif dic[key] == '(VER\\x00':\n", |
| 68 | + " meaning = '心室補充律動 (ventricular escape rhythm)'\n", |
| 69 | + " elif dic[key] == '(VF\\x00' or dic[key] == '(VFIB\\x00':\n", |
| 70 | + " meaning = '心室細動 (ventricular fibrillation)'\n", |
| 71 | + " elif dic[key] == '(VFL\\x00':\n", |
| 72 | + " meaning = '心室粗動 (ventricular flutter)'\n", |
| 73 | + " elif dic[key] == '(VT\\x00':\n", |
| 74 | + " meaning = '心室頻拍 (ventricular tachycardia)' \n", |
| 75 | + " else:\n", |
| 76 | + " meaning = None\n", |
| 77 | + " \n", |
| 78 | + " \n", |
| 79 | + " wfdb.plot_wfdb(record = record, time_units = 'seconds', title = meaning)\n", |
| 80 | + " # annotationをプロットしたいがなぜかエラー……\n", |
| 81 | + " # wfdb.plot_wfdb(record = record, annotation = annotation, time_units = 'seconds')" |
| 82 | + ] |
| 83 | + }, |
| 84 | + { |
| 85 | + "cell_type": "code", |
| 86 | + "execution_count": null, |
| 87 | + "metadata": { |
| 88 | + "scrolled": false |
| 89 | + }, |
| 90 | + "outputs": [], |
| 91 | + "source": [ |
| 92 | + "get_sample_aux(615)" |
| 93 | + ] |
| 94 | + }, |
| 95 | + { |
| 96 | + "cell_type": "code", |
| 97 | + "execution_count": null, |
| 98 | + "metadata": {}, |
| 99 | + "outputs": [], |
| 100 | + "source": [ |
| 101 | + "'''\n", |
| 102 | + " filename = 418\n", |
| 103 | + " annotation = wfdb.rdann('data/%s'%filename, 'atr')\n", |
| 104 | + " header = wfdb.rdheader('data/%s'%filename)\n", |
| 105 | + " sample_list = annotation.sample.tolist()\n", |
| 106 | + " dic = dict(zip(sample_list, annotation.aux_note))\n", |
| 107 | + " '''" |
| 108 | + ] |
| 109 | + }, |
| 110 | + { |
| 111 | + "cell_type": "code", |
| 112 | + "execution_count": null, |
| 113 | + "metadata": {}, |
| 114 | + "outputs": [], |
| 115 | + "source": [ |
| 116 | + "'''\n", |
| 117 | + " sampfrom = max(0, key - annotation.fs*2)\n", |
| 118 | + " sampto = min(key + annotation.fs*2, header.sig_len)\n", |
| 119 | + " record = wfdb.rdrecord('data/%s'%filename, sampfrom = sampfrom, sampto = sampto)\n", |
| 120 | + " meaning = None\n", |
| 121 | + " file_name = 'test_image.png'\n", |
| 122 | + " '''" |
| 123 | + ] |
| 124 | + }, |
| 125 | + { |
| 126 | + "cell_type": "code", |
| 127 | + "execution_count": null, |
| 128 | + "metadata": {}, |
| 129 | + "outputs": [], |
| 130 | + "source": [ |
| 131 | + "# fig = wfdb.plot_wfdb(record = record, time_units = 'seconds', title = meaning, return_fig = True)\n", |
| 132 | + "# showのあとにsavefigしてもうまくいかない!!!ちょっと!!" |
| 133 | + ] |
| 134 | + }, |
| 135 | + { |
| 136 | + "cell_type": "code", |
| 137 | + "execution_count": null, |
| 138 | + "metadata": {}, |
| 139 | + "outputs": [], |
| 140 | + "source": [] |
| 141 | + }, |
| 142 | + { |
| 143 | + "cell_type": "code", |
| 144 | + "execution_count": null, |
| 145 | + "metadata": {}, |
| 146 | + "outputs": [], |
| 147 | + "source": [] |
| 148 | + } |
| 149 | + ], |
| 150 | + "metadata": { |
| 151 | + "anaconda-cloud": {}, |
| 152 | + "kernelspec": { |
| 153 | + "display_name": "Python [default]", |
| 154 | + "language": "python", |
| 155 | + "name": "python3" |
| 156 | + }, |
| 157 | + "language_info": { |
| 158 | + "codemirror_mode": { |
| 159 | + "name": "ipython", |
| 160 | + "version": 3 |
| 161 | + }, |
| 162 | + "file_extension": ".py", |
| 163 | + "mimetype": "text/x-python", |
| 164 | + "name": "python", |
| 165 | + "nbconvert_exporter": "python", |
| 166 | + "pygments_lexer": "ipython3", |
| 167 | + "version": "3.5.4" |
| 168 | + } |
| 169 | + }, |
| 170 | + "nbformat": 4, |
| 171 | + "nbformat_minor": 2 |
| 172 | +} |
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