Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14914
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDaochai S.
dc.contributor.authorSueaseenak D.
dc.contributor.authorChanwimalueang T.
dc.contributor.authorLaoopugsin N.
dc.contributor.authorPintavirooj C.
dc.date.accessioned2021-04-05T04:32:06Z-
dc.date.available2021-04-05T04:32:06Z-
dc.date.issued2007
dc.identifier.other2-s2.0-50449111058
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/14914-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-50449111058&doi=10.1109%2fICICS.2007.4449674&partnerID=40&md5=4b9390142485f2bed32ea0d82fee6896
dc.description.abstractWe 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.
dc.subjectClassification (of information)
dc.subjectComputer networks
dc.subjectConformal mapping
dc.subjectMuscle
dc.subjectShrinkage
dc.subjectSignal processing
dc.subjectSplines
dc.subjectEMG
dc.subjectEMG signals
dc.subjectICA
dc.subjectPCA
dc.subjectPSOC
dc.subjectIndependent component analysis
dc.titleIndependent component analysis: An application for muscular contraction classification
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitation2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007)
dc.identifier.doi10.1109/ICICS.2007.4449674
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.