Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14914
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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