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Feasibility of using combined EMG and kinematic signals for prosthesis control : A simulation study using a virtual reality environment

dc.contributor.authorBlana, Dimitra
dc.contributor.authorKyriacou, Theocharis
dc.contributor.authorLambrecht, Joris M.
dc.contributor.authorChadwick, Edward K
dc.date.accessioned2019-10-22T08:20:01Z
dc.date.available2019-10-22T08:20:01Z
dc.date.issued2016-08
dc.identifier148459315
dc.identifier2777d0f6-fc3a-4f61-af41-8e1c41b69c1e
dc.identifier26190031
dc.identifier84937057221
dc.identifier.citationBlana , D , Kyriacou , T , Lambrecht , J M & Chadwick , E K 2016 , ' Feasibility of using combined EMG and kinematic signals for prosthesis control : A simulation study using a virtual reality environment ' , Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology , vol. 29 , pp. 21-27 . https://doi.org/10.1016/j.jelekin.2015.06.010en
dc.identifier.issn1050-6411
dc.identifier.otherPubMedCentral: PMC4940208
dc.identifier.otherORCID: /0000-0003-0877-5110/work/63244293
dc.identifier.otherORCID: /0000-0003-0488-6120/work/63244320
dc.identifier.urihttps://hdl.handle.net/2164/13142
dc.descriptionAcknowledgment This study was partly supported by a UK Medical Research Council Centenary Award to Keele University.en
dc.format.extent7
dc.format.extent902418
dc.language.isoeng
dc.relation.ispartofJournal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiologyen
dc.subjectAmputationen
dc.subjectProsthesisen
dc.subjectMyoelectricen
dc.subjectTranshumeralen
dc.subjectElectromyographyen
dc.subjectArtificial neural networken
dc.subjectControlen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectMedical Research Council (MRC)en
dc.subject.lccTAen
dc.titleFeasibility of using combined EMG and kinematic signals for prosthesis control : A simulation study using a virtual reality environmenten
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.description.statusPeer revieweden
dc.identifier.doi10.1016/j.jelekin.2015.06.010


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