The Research of Wavelet Analysis for sEMG in Massage Assessment

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2014Publisher:IEEEJournal:2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing

Authors: Ping Feng; Xiaoli Wang; Ya-Juan Song; Li-Ye Ren;

doi: 10.1109/dasc.2014.103

The Research of Wavelet Analysis for sEMG in Massage Assessment

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Abstract

The feature of surface electromyography signal and the mechanism of wavelet analysis characteristic generated from massage technique were mainly researched, and then the relevant eigenvalues of the wavelet theory were extracted from the data of kneading method. The results showed that after analyzing the wavelet characteristics between the experts and the beginners, we could effectively distinguish the level of the massage technique, and provide a theoretical basis for further guide.

Related Organizations

Hebei University
China (People's Republic of)
Changchun University
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Changchun University of Technology
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