--- a
+++ b/classification.ipynb
@@ -0,0 +1,87 @@
+{
+ "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
+}