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Title: | Independent component analysis: An application for muscular contraction classification |
Authors: | Daochai S. Sueaseenak D. Chanwimalueang T. Laoopugsin N. Pintavirooj C. |
Keywords: | Classification (of information) Computer networks Conformal mapping Muscle Shrinkage Signal processing Splines EMG EMG signals ICA PCA PSOC Independent component analysis |
Issue Date: | 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. |
URI: | https://ir.swu.ac.th/jspui/handle/123456789/14914 https://www.scopus.com/inward/record.uri?eid=2-s2.0-50449111058&doi=10.1109%2fICICS.2007.4449674&partnerID=40&md5=4b9390142485f2bed32ea0d82fee6896 |
Appears in Collections: | Scopus 1983-2021 |
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