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dc.contributor.authorKainz, H
dc.contributor.authorModenese, L
dc.contributor.authorLloyd, DG
dc.contributor.authorMaine, S
dc.contributor.authorWalsh, HPJ
dc.contributor.authorCarty, CP
dc.date.accessioned2018-07-27T01:30:18Z
dc.date.available2018-07-27T01:30:18Z
dc.date.issued2016
dc.identifier.issn0021-9290
dc.identifier.doi10.1016/j.jbiomech.2016.03.052
dc.identifier.urihttp://hdl.handle.net/10072/100098
dc.description.abstractMost clinical gait laboratories use the conventional gait analysis model. This model uses a computational method called Direct Kinematics (DK) to calculate joint kinematics. In contrast, musculoskeletal modelling approaches use Inverse Kinematics (IK) to obtain joint angles. IK allows additional analysis (e.g. muscle-tendon length estimates), which may provide valuable information for clinical decision-making in people with movement disorders. The twofold aims of the current study were: (1) to compare joint kinematics obtained by a clinical DK model (Vicon Plug-in-Gait) with those produced by a widely used IK model (available with the OpenSim distribution), and (2) to evaluate the difference in joint kinematics that can be solely attributed to the different computational methods (DK versus IK), anatomical models and marker sets by using MRI based models. Eight children with cerebral palsy were recruited and presented for gait and MRI data collection sessions. Differences in joint kinematics up to 13° were found between the Plug-in-Gait and the gait 2392 OpenSim model. The majority of these differences (94.4%) were attributed to differences in the anatomical models, which included different anatomical segment frames and joint constraints. Different computational methods (DK versus IK) were responsible for only 2.7% of the differences. We recommend using the same anatomical model for kinematic and musculoskeletal analysis to ensure consistency between the obtained joint angles and musculoskeletal estimates.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom1658
dc.relation.ispartofpageto1669
dc.relation.ispartofissue9
dc.relation.ispartofjournalJournal of Biomechanics
dc.relation.ispartofvolume49
dc.subject.fieldofresearchBiomedical engineering
dc.subject.fieldofresearchMechanical engineering
dc.subject.fieldofresearchSports science and exercise
dc.subject.fieldofresearchSports science and exercise not elsewhere classified
dc.subject.fieldofresearchcode4003
dc.subject.fieldofresearchcode4017
dc.subject.fieldofresearchcode4207
dc.subject.fieldofresearchcode420799
dc.titleJoint kinematic calculation based on clinical direct kinematic versus inverse kinematic gait models
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Health, School of Allied Health Sciences
gro.hasfulltextNo Full Text
gro.griffith.authorCarty, Chris P.
gro.griffith.authorLloyd, David
gro.griffith.authorWalsh, Henry Patrick John


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