Publication: Independent component analysis: An application for muscular contraction classification
Issued Date
2007-12-01
Resource Type
Other identifier(s)
2-s2.0-50449111058
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007)
Suggested Citation
S. Daochai, D. Sueaseenak, T. Chanwimalueang, N. Laoopugsin, C. Pintavirooj Independent component analysis: An application for muscular contraction classification. 2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007). doi:10.1109/ICICS.2007.4449674 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/24389
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Independent component analysis: An application for muscular contraction classification
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.