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dc.contributor.authorDevaprakash, Daniel
dc.contributor.authorWeir, Gillian J
dc.contributor.authorDunne, James J
dc.contributor.authorAlderson, Jacqueline A
dc.contributor.authorDonnelly, Cyril J
dc.date.accessioned2021-07-06T00:11:42Z
dc.date.available2021-07-06T00:11:42Z
dc.date.issued2016
dc.identifier.issn1050-6411
dc.identifier.doi10.1016/j.jelekin.2016.10.001
dc.identifier.urihttp://hdl.handle.net/10072/405695
dc.description.abstractThere is a large and growing body of surface electromyography (sEMG) research using laboratory-specific signal processing procedures (i.e., digital filter type and amplitude normalisation protocols) and data analyses methods (i.e., co-contraction algorithms) to acquire practically meaningful information from these data. As a result, the ability to compare sEMG results between studies is, and continues to be challenging. The aim of this study was to determine if digital filter type, amplitude normalisation method, and co-contraction algorithm could influence the practical or clinical interpretation of processed sEMG data. Sixteen elite female athletes were recruited. During data collection, sEMG data was recorded from nine lower limb muscles while completing a series of calibration and clinical movement assessment trials (running and sidestepping). Three analyses were conducted: (1) signal processing with two different digital filter types (Butterworth or critically damped), (2) three amplitude normalisation methods, and (3) three co-contraction ratio algorithms. Results showed the choice of digital filter did not influence the clinical interpretation of sEMG; however, choice of amplitude normalisation method and co-contraction algorithm did influence the clinical interpretation of the running and sidestepping task. Care is recommended when choosing amplitude normalisation method and co-contraction algorithms if researchers/clinicians are interested in comparing sEMG data between studies.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofpagefrom126
dc.relation.ispartofpageto135
dc.relation.ispartofjournalJournal of Electromyography and Kinesiology
dc.relation.ispartofvolume31
dc.subject.fieldofresearchSports science and exercise
dc.subject.fieldofresearchcode4207
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsNeurosciences
dc.subject.keywordsPhysiology
dc.subject.keywordsRehabilitation
dc.titleThe influence of digital filter type, amplitude normalisation method, and co-contraction algorithm on clinically relevant surface electromyography data during clinical movement assessments
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationDevaprakash, D; Weir, GJ; Dunne, JJ; Alderson, JA; Donnelly, CJ, The influence of digital filter type, amplitude normalisation method, and co-contraction algorithm on clinically relevant surface electromyography data during clinical movement assessments, Journal of Electromyography and Kinesiology, 2016, 31, pp. 126-135
dcterms.dateAccepted2016-10-10
dc.date.updated2021-07-06T00:09:30Z
gro.hasfulltextNo Full Text
gro.griffith.authorDevaprakash, Daniel


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