load two layer of cnn

some-test/noise_take_ecg.py

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+import numpy as np
+import pywt
+import wfdb
+from matplotlib import pyplot as plt
+
+# file error
+
+# use db5 ,level9 do deviose
+ECGDATAPATH = './MIT-BIT/'
+
+# from ECG_read_weiyuqing_without_wfdb import PATH
+# record = wfdb.rdrecord(ECGDATAPATH + number, channel_names=['MLII'])
+record = wfdb.rdrecord(ECGDATAPATH + '100', channel_names=['MLII'])
+data = record.p_signal.flatten()
+
+coeffs = pywt.wavedec(data=data, wavelet='db5', level=9)
+cA9, cD9, cD8, cD7, cD6, cD5, cD4, cD3, cD2, cD1 = coeffs
+
+threshold = (np.median(np.abs(cD1)) / 0.6745) * (np.sqrt(2 * np.log(len(cD1))))
+cD1.fill(0)
+cD2.fill(0)
+for i in range(1, len(coeffs) - 2):
+    coeffs[i] = pywt.threshold(coeffs[i], threshold)
+
+rdata = pywt.waverec(coeffs=coeffs, wavelet='db5')
+
+plt.figure(figsize=(20, 4))
+plt.plot(data)
+plt.show()
+plt.plot(rdata)
+plt.show()