Title :
The Research of Wavelet Analysis for sEMG in Massage Assessment
Author :
Ping Feng ; Xiao-Li Wang ; Ya-Juan Song ; Li-Ye Ren
Author_Institution :
Coll. of Comput. Sci. & Technol., Changchun Univ., Changchun, China
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.
Keywords :
eigenvalues and eigenfunctions; electromyography; medical signal processing; wavelet transforms; eigenvalues; kneading method; massage assessment; massage technique; sEMG; surface electromyography signal; wavelet analysis; Educational institutions; Electromyography; Muscles; Surface waves; Thumb; Time-frequency analysis; Wavelet analysis; electromyog-raphy signal; massage assessment; wavelet analysis;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5078-2
DOI :
10.1109/DASC.2014.103
