Show simple item record

dc.contributor.authorBuchanan, T.Sen_US
dc.contributor.authorLloyd, David Gavinen_US
dc.contributor.authorManal, Ken_US
dc.contributor.authorBesier, T.Fen_US
dc.date.accessioned2012-11-01en_US
dc.date.accessioned2017-03-02T00:45:16Z
dc.date.available2014-10-10T01:00:28Z
dc.date.available2017-03-02T00:45:16Z
dc.date.issued2004en_US
dc.identifier.issn1065-8483en_US
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.language.isoen_US
dc.publisherHuman Kineticsen_US
dc.publisher.placeUnited Statesen_US
dc.publisher.urihttp://journals.humankinetics.com/jab-back-issues/JABVolume20Issue4November/NeuromusculoskeletalModelingEstimationofMuscleForcesandJointMomentsandMovementsFromMeasurementsofNeuralCommanden_US
dc.relation.ispartofpagefrom367en_US
dc.relation.ispartofpageto395en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofjournalJournal of Applied Biomechanicsen_US
dc.relation.ispartofvolume20en_US
dc.subject.fieldofresearchBiomechanical Engineeringen_US
dc.subject.fieldofresearchBiomechanicsen_US
dc.subject.fieldofresearchPRE2009-Biomechanicsen_US
dc.subject.fieldofresearchcode090302en_US
dc.subject.fieldofresearchcode110601en_US
dc.subject.fieldofresearchcode321402en_US
dc.titleNeuromusculoskeletal modelling: estimation of muscle forces and joint moments and movements from measurements of neural commanden_US
dc.typeJournal article
dc.type.descriptionJournal Articles (Refereed Article)en_US
dc.type.codec1xen_US
gro.facultyGriffith Health Facultyen_US
gro.date.issued2014-10-10T01:00:28Z
gro.hasfulltextNo Full Text


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record