Independent component analysis: An application for muscular contraction classification

Independent component analysis: An application for muscular contraction classification

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 topol...

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Main Authors: S. Daochai, D. Sueaseenak, T. Chanwimalueang, N. Laoopugsin, C. Pintavirooj
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Computer Science
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/24389
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Institution: Mahidol University
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spelling th-mahidol.243892018-08-24T08:48:03Z Independent component analysis: An application for muscular contraction classification S. Daochai D. Sueaseenak T. Chanwimalueang N. Laoopugsin C. Pintavirooj Mahidol University Srinakharinwirot University King Mongkut's Institute of Technology Ladkrabang Computer Science 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. 2018-08-24T01:48:03Z 2018-08-24T01:48:03Z 2007-12-01 Conference Paper 2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007) 10.1109/ICICS.2007.4449674 2-s2.0-50449111058 https://repository.li.mahidol.ac.th/handle/123456789/24389 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50449111058&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
spellingShingle Computer Science
S. Daochai
D. Sueaseenak
T. Chanwimalueang
N. Laoopugsin
C. Pintavirooj
Independent component analysis: An application for muscular contraction classification
description 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.
author2 Mahidol University
author_facet Mahidol University
S. Daochai
D. Sueaseenak
T. Chanwimalueang
N. Laoopugsin
C. Pintavirooj
format Conference or Workshop Item
author S. Daochai
D. Sueaseenak
T. Chanwimalueang
N. Laoopugsin
C. Pintavirooj
author_sort S. Daochai
title Independent component analysis: An application for muscular contraction classification
title_short Independent component analysis: An application for muscular contraction classification
title_full Independent component analysis: An application for muscular contraction classification
title_fullStr Independent component analysis: An application for muscular contraction classification
title_full_unstemmed Independent component analysis: An application for muscular contraction classification
title_sort independent component analysis: an application for muscular contraction classification
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/24389
_version_ 1763494815393120256

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