EMG Signal De-Noising Based on Wavelet Packet μ Rhythm Threshold Method

Gui Liang Chen; Guang Xu Wang; Geng Qian Liu

doi:10.4028/www.scientific.net/AMM.394.560

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 394EMG Signal De-Noising Based on Wavelet Packet μ...

EMG Signal De-Noising Based on Wavelet Packet μ Rhythm Threshold Method

Abstract:

Surface Electromyographic (SEMG) signal is characterized by physiological noise contained,in order to eliminate inclusion noise. In wavelet packet analysis domain,after analysising the traditional soft-threshold and hard-threshold de-noising method of characteriscs,a new method which is μ rhythm threshold method is provided to improve threshold function. In Matlab7.0,the relevant procedures and simulation show that the method can not only solve the hard-threshold de-noising continuous problem,but also solve the detects before and after the threshold treatment of the soft-threshold wavelet coefficients constant deviation. Meanwhile,the application of the method in the wavelet analysis shows that wavelet packet μ rhythm threshold method de-noising significantly better than wavelet μ rhythm threshold method,and proves that the wavelet packet has remarkable capacity to de-noising.

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Periodical:

Applied Mechanics and Materials (Volume 394)

Pages:

560-565

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.394.560

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Online since:

September 2013

Authors:

Gui Liang Chen, Guang Xu Wang, Geng Qian Liu

Keywords:

SEMG, Signal De-Noising, Wavelet Packet Transform, μ Rhythm Threshold Function

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