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dc.contributor.authorBuchanan, TS
dc.contributor.authorLloyd, DG
dc.contributor.authorManal, K
dc.contributor.authorBesier, TF
dc.date.accessioned2012-11-01
dc.date.accessioned2017-03-02T00:45:16Z
dc.date.available2014-10-10T01:00:28Z
dc.date.available2017-03-02T00:45:16Z
dc.date.issued2004
dc.identifier.issn1065-8483
dc.identifier.urihttp://hdl.handle.net/10072/62992
dc.description.abstractThis paper provides an overview of forward dynamic neuromusculoskeletal modeling. The aim of such models is to estimate or predict muscle forces, joint moments, and/or joint kinematics from neural signals. This is a four-step process. In the first step, muscle activation dynamics govern the transformation from the neural signal to a measure of muscle activation—a time varying parameter between 0 and 1. In the second step, muscle contraction dynamics characterize how muscle activations are transformed into muscle forces. The third step requires a model of the musculoskeletal geometry to transform muscle forces to joint moments. Finally, the equations of motion allow joint moments to be transformed into joint movements. Each step involves complex nonlinear relationships. The focus of this paper is on the details involved in the first two steps, since these are the most challenging to the biomechanician. The global process is then explained through applications to the study of predicting isometric elbow moments and dynamic knee kinetics.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoen_US
dc.publisherHuman Kinetics
dc.publisher.placeUnited States
dc.publisher.urihttp://journals.humankinetics.com/jab-back-issues/JABVolume20Issue4November/NeuromusculoskeletalModelingEstimationofMuscleForcesandJointMomentsandMovementsFromMeasurementsofNeuralCommand
dc.relation.ispartofpagefrom367
dc.relation.ispartofpageto395
dc.relation.ispartofissue4
dc.relation.ispartofjournalJournal of Applied Biomechanics
dc.relation.ispartofvolume20
dc.subject.fieldofresearchBiomechanical Engineering
dc.subject.fieldofresearchBiomechanics
dc.subject.fieldofresearchBiomedical Engineering
dc.subject.fieldofresearchHuman Movement and Sports Sciences
dc.subject.fieldofresearchMechanical Engineering
dc.subject.fieldofresearchcode090302
dc.subject.fieldofresearchcode110601
dc.subject.fieldofresearchcode0903
dc.subject.fieldofresearchcode1106
dc.subject.fieldofresearchcode0913
dc.titleNeuromusculoskeletal modelling: estimation of muscle forces and joint moments and movements from measurements of neural command
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyGriffith Health Faculty
gro.date.issued2014-10-10T01:00:28Z
gro.hasfulltextNo Full Text
gro.griffith.authorLloyd, David


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