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Title: Independent component analysis: An application for muscular contraction classification
Authors: S. Daochai
D. Sueaseenak
T. Chanwimalueang
N. Laoopugsin
C. Pintavirooj
Mahidol University
Srinakharinwirot University
King Mongkut's Institute of Technology Ladkrabang
Keywords: Computer Science
Issue Date: 1-Dec-2007
Citation: 2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007)
Abstract: We develop a multi-channel electromyogram acquisition system using PSOC microcontroller to aquire multichannel EMG signals. An array of 4 x 4 surface electrodes is used to record the EMG signal. B-spline interpolation technique has been utilized to map the EMG signal on the muscle surface. The topological mapping of the EMG is then analyzed to classify the pattern of muscle contraction. The proposed system was successfully demonstrated to record EMG data and its surface mapping. The muscular contraction classification of mapping using independent component analysis demonstrates promising results. ©2007 IEEE.
Appears in Collections:Scopus 2006-2010

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