Title :
Wavelet transform and independent component analysis application to multi-channel SEMG processing
Author :
Wenguo, Li ; Zhizeng, Luo
Author_Institution :
Robot Res. Inst., Hangzhou Dianzi Univ., Hangzhou
Abstract :
Multi-channel Surface Electromyography (SEMG) always interfere each other while being acquired, which would distort the source SEMG feature. The new method of SEMG processing is put forwarded to eliminate the signal interference between multi-channel SEMG by combining the wavelet transform with the independent component analysis (ICA). In this method, some noise is removed from the raw SEMG first which are reconstructed again for the observed signals of ICA. Then, the observed signals are separated blindly by using Infomax algorithm. Finally, this paper induces correlation coefficient to judge the consistency of the outputs in ICA with the source SEMG. The experimental results indicate that this method is an effective way to separate multi-channel SEMG.
Keywords :
electromyography; independent component analysis; medical computing; wavelet transforms; Infomax algorithm; independent component analysis; multichannel SEMG processing; signal interference; surface electromyography; wavelet transform; Artificial limbs; Electromyography; Independent component analysis; Mathematical model; Robotics and automation; Signal processing; Signal processing algorithms; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608112