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Proportional myoelectric control of a virtual object to investigate human efferent control

dc.contributor.authorGordon, Keith E.en_US
dc.contributor.authorFerris, Daniel P.en_US
dc.date.accessioned2006-09-11T17:54:19Z
dc.date.available2006-09-11T17:54:19Z
dc.date.issued2004-12en_US
dc.identifier.citationGordon, Keith E.; Ferris, Daniel P.; (2004). "Proportional myoelectric control of a virtual object to investigate human efferent control." Experimental Brain Research 159(4): 478-486. <http://hdl.handle.net/2027.42/46539>en_US
dc.identifier.issn1432-1106en_US
dc.identifier.issn0014-4819en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46539
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15258714&dopt=citationen_US
dc.description.abstractWe used proportional myoelectric control of a one-dimensional virtual object to investigate differences in efferent control between the proximal and distal muscles of the upper limbs. Eleven subjects placed one of their upper limbs in a brace that restricted movement while we recorded electromyography (EMG) signals from elbow flexors/extensors or wrist flexors/extensors during isometric contractions. By activating their muscles, subjects applied virtual forces to a virtual object using a real-time computer interface. The magnitudes of these forces were proportional to EMG amplitudes. Subjects used this proportional EMG control to move the virtual object through two tracking tasks, one with a static target and one with a moving target (i. e., a sine wave). We hypothesized that subjects would have better control over the virtual object using their distal muscles rather than using their proximal muscles because humans typically use more distal joints to perform fine motor tasks. The results indicated that there was no difference in subjects’ ability to control virtual object movements when using either upper arm muscles or forearm muscles. These results suggest that differences in control accuracy between elbow joint movements and wrist joint movements are more likely to be a result of motor practice, proprioceptive feedback or joint mechanics rather than inherent differences in efferent control.en_US
dc.format.extent400258 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherElectromyographyen_US
dc.subject.otherMotor Learningen_US
dc.subject.otherMotor Controlen_US
dc.subject.otherLifeSciencesen_US
dc.subject.otherHuman–Computer Interfaceen_US
dc.titleProportional myoelectric control of a virtual object to investigate human efferent controlen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbsecondlevelNeurosciencesen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Movement Science, University of Michigan, 401 Washtenaw Avenue, Ann Arbor, MI 48103–2214, USAen_US
dc.contributor.affiliationumDepartment of Movement Science, University of Michigan, 401 Washtenaw Avenue, Ann Arbor, MI 48103–2214, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid15258714en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46539/1/221_2004_Article_1970.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00221-004-1970-6en_US
dc.identifier.sourceExperimental Brain Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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