Statistical approach for angular position separability classes of EMG data

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dc.contributor.authorCastro, M.C.F.
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-2751-0014
dc.date.accessioned2022-01-12T22:03:28Z
dc.date.available2022-01-12T22:03:28Z
dc.date.issued2011-01-06
dc.description.abstractThis paper focus on the application of a multivariate statistical analysis approach, based on Linear Discriminant Analysis (LDA), of EMG data that aims to identify the angular position of the elbow. Linear transformations applied to EMG signals of the Biceps brachii and Triceps brachii, acquired during flexion / extension movements, enabled good and reliable class separation for future classification. © 2011 IEEE.
dc.description.firstpage110
dc.description.lastpage115
dc.identifier.citationCASTRO, M. C. F. Statistical approach for angular position separability classes of EMG data. 2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011, p. 110 - Jan. 115, 2011.
dc.identifier.doi10.1109/BRC.2011.5740663
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4206
dc.relation.ispartof2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011
dc.rightsAcesso Restrito
dc.subject.otherlanguageArm Angular Position
dc.subject.otherlanguageBiceps brachii
dc.subject.otherlanguageElectromiogram
dc.subject.otherlanguageLinear Discriminant Analysis (LDA)
dc.subject.otherlanguagePattern Recognition
dc.subject.otherlanguageTriceps brachii
dc.titleStatistical approach for angular position separability classes of EMG data
dc.typeArtigo de evento
fei.scopus.citations2
fei.scopus.eid2-s2.0-79955954683
fei.scopus.subjectAngular positions
fei.scopus.subjectBiceps brachii
fei.scopus.subjectElectromiogram
fei.scopus.subjectLinear discriminant analysis
fei.scopus.subjectTriceps brachii
fei.scopus.updated2024-08-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955954683&origin=inward
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