Discrete Wavelet Soft Threshold Denoise Processing for ECG Signal

Authors:
Qi Haibing;Liu Xiongfei;Pan Chao
Affiliations:
-;-;-
Venue:
ICICTA '10 Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation - Volume 02
Year:
2010

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Cited 1

Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems

Neurocomputing

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Abstract

Electrocardiogram (ECG) is an essential method for the clinical diagnosis of cardiovascular diseases. The weak biomedical signal buried in all kinds of noise will result in the useful information lost or false information on the wavelet decomposition. According to the characteristics of ECG signal and wavelet transform, a discrete wavelet soft threshold denoise processing method is used to remove the interference of electrical power frequency, electromyography and baseline drift, and a favorable effect is obtained through the simulation.