RobustDetection/wfdbpython2.py at master · Doerd/RobustDetection · GitHub

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#!/usr/Anaconda3/python3

import numpy as np
import keras
import wfdb
#np.set_printoptions(threshold=np.nan)

path = "C:\\Users\\williamadriance\\My Documents\\RobustDetection\\entry\\challenge\\2014\\set-p\\"
readfile = "122"

filedir = path+readfile


sig, fields = wfdb.rdsamp(filedir, channels=[0])
annsamp=wfdb.rdann(filedir, 'atr')[0]
print("annsamp: ", annsamp)

sig_train = []
sig_test = []
ann_train = []
ann_test = []

from time import time

t0 = time()
for i in range(0, 10):
	sig_train.append(wfdb.rdsamp(path+str(100+i), channels=[0])[0])
	ann_train.append(wfdb.rdann(path+str(100+i), 'atr')[0])[0]
	'''
for i in range(80, 84):
	sig_test.append(wfdb.rdsamp(path+str(100+i), channels=[0])[0])
	ann_test.append(wfdb.rdann(path+str(100+i), 'atr')[0])'''
t1 = time()
print("time taken for array creation: ", str(t1-t0)[:5], "seconds")


t0 = time()


t1 = time()
print("time taken for fitting: ", str(t1-t0)[:5], "seconds")

#print("train: ", trainann)
#print("test: ", testann)

print(fields)

#wfdb.plotwfdb(sig, fields, annsamp = annsamp)
#wfdb.plotwfdb(sig, fields, annsamp = trainann[3])