upload

classification.ipynb

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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import serial\n",
+ "from time import time, sleep"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ser = serial.Serial('/dev/ttyUSB0',9600)\n",
+ "print(ser.name) \n",
+ "\n",
+ "# Read from serial moniter\n",
+ "line = ser.read_until('e')\n",
+ "\n",
+ "# Delete ecg_signal.txt file if it's already present.\n",
+ "cwd = os.getcwd()\n",
+ "check = cwd + \"/ecg_signal.txt\"\n",
+ "\n",
+ "files = sorted(glob.glob(cwd + '/*.csv'), key=numericalSort)\n",
+ "if check in files:\n",
+ " os.remove(check)\n",
+ "\n",
+ "# Write the data to a file\n",
+ "f = open('ecg_signal.txt', 'a')\n",
+ "f.write(str(line)[10:])\n",
+ "f.close()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Convert .txt file into .mat file for prediction\n",
+ "a = np.loadtxt('ecg_signal.txt', dtype = 'object')\n",
+ "a1 = a[100:9100]\n",
+ "a1 = np.asarray(a1, dtype = 'float64')\n",
+ "a1 = a1.reshape(1,-1)\n",
+ "scipy.io.savemat('ecg_signal.mat', {'val': a1})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "!python ecg/ecg/predict.py val.json 0.434-0.864-012-0.309-0.892.hdf5"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

val.json

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+{"ecg": "/home/manideep/ecg_signal.mat", "labels": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"]}