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dc.contributor.authorReaz, MBI
dc.contributor.authorHussain, MS
dc.contributor.authorMohd-Yasin, F
dc.date.accessioned2017-05-03T11:49:43Z
dc.date.available2017-05-03T11:49:43Z
dc.date.issued2006
dc.date.modified2012-09-04T23:22:30Z
dc.identifier.doi10.1109/HEALTH.2006.246433
dc.identifier.urihttp://hdl.handle.net/10072/46713
dc.description.abstractModern spectrum analysis has been applied to various bio-medical signal processing. Wavelet transform (WT) has been applied in this research for the analysis of the surface electromyography signal (SEMG). Mean and median frequencies of the SEMG power spectrum were used to indicate changes in muscle contraction during gait. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as a means of understanding muscle contractions during gait. Power spectrum analysis on the EMG signal from right rectus femoris muscle was performed using various wavelet functions (WF). With the appropriate choice of the WF, it is possible to analyze SEMG significantly. Results show that WF Daubechies45 presents the most significant changes in SEMG power spectrum compared to the other WFs.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent213409 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.publisherIEEE
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename2006 8th International Conference on e-Health Networking, Applications and Services (Healthcom 2006)
dc.relation.ispartofconferencetitleHEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services
dc.relation.ispartofdatefrom2006-08-17
dc.relation.ispartofdateto2006-08-19
dc.relation.ispartoflocationNew Delhi, India
dc.relation.ispartofpagefrom132
dc.relation.ispartofpageto134
dc.rights.retentionY
dc.subject.fieldofresearchElectrical and Electronic Engineering not elsewhere classified
dc.subject.fieldofresearchcode090699
dc.titleEMG analysis using wavelet functions to determine muscle contraction
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorMohd-Yasin, Faisal


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    Contains papers delivered by Griffith authors at national and international conferences.

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