A method for automatically identifying and extracting k-complex waves in sleep EEG
A K-complex, automatic identification technology, applied in the field of EEG signals, can solve the problems of algorithm versatility, poor robustness, K-complex identification error, susceptibility to noise, interference and other problems, and achieves simple algorithm and anti-interference ability. strong effect
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[0030] The present invention will be further described below in conjunction with the accompanying drawings.
[0031] A method for automatically identifying and extracting K-complex waves in sleep EEG, the specific implementation steps of which can be referred to figure 1 :
[0032] Step 1. Read the sleep EEG and segment it. Since the sleep stage generally takes 30s as a period, the segment length is 30s. According to the frequency domain characteristics of the K complex wave: its frequency is generally 0.5-2Hz, Therefore, the db5 wavelet is selected for the eight-layer wavelet decomposition, and the low-frequency coefficients of the seventh and eighth layers are selected for reconstruction. figure 2 It is the original signal and the wavelet reconstructed signal.
[0033] Step 2. The amplitude of the K complex wave is very large, generally between 100-400v, so calculate the absolute value of the difference between the maximum value and the minimum value of the reconstructed ...
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