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https://github.com/This-weiyuqing/ECG_by_Diffenert_CNN_Test.git
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load two layer of cnn
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import os
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import numpy as np
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import wfdb
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import matplotlib.pyplot
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PATH = '../MIT-BIT/'
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# file error with read_ecg_data(data) parameter data false
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def read_ecg_data(data):
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# get the data from the ecg data file and set begin and end points
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record = wfdb.rdrecord(PATH + 'data', sampfrom=0, sampto=1500)
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# return type record
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print(type(record))
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print(dir(record))
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# get the Lead signal (len、filename、number、signalname、Sample rate
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print(record.p_signal)
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print(np.shape(record.p_signal))
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print(record.sig_len)
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print(record.record_name)
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print(record.n_sig)
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print(record.sig_name)
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print(record.fs)
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# get type
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annotations = wfdb.rdann(PATH + data, 'atr')
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print(type(annotations))
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print(dir(annotations))
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# get R
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print(annotations.sample)
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# get label of Heart beat
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print(annotations.sample)
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# num
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print(annotations.ann_len)
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# show label of beat
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print(wfdb.show_ann_labels())
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matplotlib.pyplot.draw_ecg(record.p_signal)
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return record.p_signal
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if __name__ == '__main__':
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read_ecg_data(100)
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