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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

Inactive Publication Date: 2018-07-31
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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Problems solved by technology

However, the selection of wavelet basis functions depends on experience and trials, and when calculating the noise variance, the wavelet coefficient with the highest frequency is usually regarded as noise, and it is calculated as the noise variance, which has a certain error

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  • Electrocardiosignal denoising method adopting wavelet entropy threshold value based on EEMD
  • Electrocardiosignal denoising method adopting wavelet entropy threshold value based on EEMD
  • Electrocardiosignal denoising method adopting wavelet entropy threshold value based on EEMD

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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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Abstract

The invention provides an electrocardiosignal denoising method adopting a wavelet entropy threshold value based on EEMD. The electrocardiosignal denoising method comprises the following steps: SA, selecting the added noise times M and the added white noise sequence evaluation coefficient k, and carrying out EEMD decomposition on electrocardiosignals containing noises, thus obtaining a series of intrinsic mode function IMF components with the frequencies being from high to low; SB, carrying out wavelet decomposition on each IMF component, calculating the wavelet entropy threshold value, and carrying out wavelet entropy threshold value de-noising on each IMF component; and C, reconstructing the IMF components after the wavelet entropy threshold value de-noising, thus obtaining electrocardiosignals with the noises removed. With the method provided by the invention, the original signals and the noises can be effectively distinguished, and useful signals are well reserved while the noises are removed.

Description

technical field [0001] The invention relates to the technical field of biomedical signal noise processing, in particular to an electrocardiographic signal denoising method based on EEMD wavelet entropy threshold. Background technique [0002] Electrocardiogram (ECG) is the comprehensive performance of the heart's electrical activity on the body surface, and is an important basis for the diagnosis of cardiovascular diseases. The ECG signal is a non-stationary small signal with strong noise, and some strong interference inevitably exists during the measurement. How to effectively eliminate various noises and accurately extract useful ECG signal waveforms is an important basis for clinical intelligent diagnosis of heart disease. A normal ECG waveform is composed of P wave, QRS wave group and T wave, etc. The noise of the ECG signal mainly includes power frequency interference composed of 50Hz / 60Hz and its harmonics, 5-2kHz myoelectric interference, and frequency less than 0.5H...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/7203A61B5/7235A61B5/318
Inventor 王晓燕鲁华祥金敏李威王渴王安边昳
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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