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import pyedflib

import numpy as np

import matplotlib.pyplot as plt

from scipy import signal

import pylab

f = pyedflib.EdfReader("n7.edf")

n = f.signals_in_file

signal_labels = f.getSignalLabels()

sigbufs = np.zeros((n, f.getNSamples()[0]))

for i in np.arange(n):

sigbufs[i, :] = f.readSignal(i)

print (sigbufs)

print(signal_labels)

sygnal = []

sygnal = sigbufs[0]

fs = 10000

for i in range(0,len(sigbufs)):

print(sigbufs[i])

sygnal[0:90000]=sigbufs[i][10000:100000]

fs = f.getSampleFrequency(i)

f, t, Sxx = signal.spectrogram(sygnal, fs)

plt.pcolormesh(t, f, Sxx)

plt.ylabel('Frequency [Hz]')

plt.xlabel('Time [sec]')

plt.show()

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