Electrocardiosignal denoising method adopting wavelet entropy threshold value based on EEMD
An electrocardiographic signal and threshold denoising technology, which is applied in the field of biomedical signal noise processing and can solve problems such as errors
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[0030] In the present invention, the EEMD algorithm is combined with the wavelet entropy threshold algorithm to further improve the noise reduction effect.
[0031] In order to further illustrate the technical content of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and examples of implementation.
[0032] In an exemplary embodiment of the present invention, a method for denoising ECG signals based on EEMD wavelet entropy threshold is provided.
[0033] like figure 1 As shown, the ECG signal denoising method based on the wavelet entropy threshold of EEMD in this embodiment specifically includes:
[0034] Step A, perform EEMD decomposition on the ECG signal to obtain the IMF component: perform EEMD decomposition on the noise-containing signal, test and select the optimal number of added noise M to be 100, and the value coefficient k of the added white noise sequence to be 0.7 to obtain a series of f...
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