DocumentCode :
2973524
Title :
Independent component analysis: An application for muscular contraction classification
Author :
Daochai, S. ; Sueaseenak, D. ; Chanwimalueang, T. ; Laoopugsin, N. ; Pintavirooj, C.
Author_Institution :
Mahidol Univ., Narkornparthom
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
1
Lastpage :
4
Abstract :
We develop a multi-channel electromyogram acquisition system using PSOC microcontroller to acquire multichannel EMG signals. An array of 4 times 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.
Keywords :
electromyography; independent component analysis; microcontrollers; pattern classification; splines (mathematics); B-spline interpolation technique; PSOC microcontroller; independent component analysis; multichannel EMG signals; multichannel electromyogram acquisition system; muscular contraction classification; surface mapping; Electrodes; Electromyography; Filters; Independent component analysis; Instruments; Interpolation; Muscles; Needles; Spline; Wire; EMG; ICA; PCA; PSOC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
Type :
conf
DOI :
10.1109/ICICS.2007.4449674
Filename :
4449674
Link To Document :
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