Inertial motion capture in conjunction with an artificial neural network can differentiate the gait patterns of hemiparetic stroke patients compared with able-bodied counterparts

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dc.contributor.authorScheffer C
dc.contributor.authorCloete T
dc.date.accessioned2013-07-03T08:19:06Z
dc.date.available2013-07-03T08:19:06Z
dc.date.issued2012
dc.descriptionIngenieurswese
dc.descriptionMeganiese & Megatroniese Ingenieurswese
dc.descriptionPlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: scholar@sun.ac.za
dc.identifier.citationComputer Methods in Biomechanics and Biomedical Engineering
dc.identifier.urihttp://hdl.handle.net/10019.1/81786
dc.publisherTAYLOR & FRANCIS LTD
dc.titleInertial motion capture in conjunction with an artificial neural network can differentiate the gait patterns of hemiparetic stroke patients compared with able-bodied counterparts
dc.typeJournal Articles (subsidised)
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