Musculoskeletal modelling of human ankle complex: Estimation of ankle joint moments

dc.contributor.authorJamwal, Prashant K.
dc.contributor.authorHussain, Shahid
dc.contributor.authorTsoi, Yun Ho
dc.contributor.authorGhayesh, Mergen H.
dc.contributor.authorXie, Sheng Quan
dc.creatorPrashant K., Jamwal
dc.date.accessioned2018-01-04T08:38:29Z
dc.date.available2018-01-04T08:38:29Z
dc.date.issued2017-05-01
dc.description.abstractAbstract BackgroundA musculoskeletal model for the ankle complex is vital in order to enhance the understanding of neuro-mechanical control of ankle motions, diagnose ankle disorders and assess subsequent treatments. Motions at the human ankle and foot, however, are complex due to simultaneous movements at the two joints namely, the ankle joint and the subtalar joint. The musculoskeletal elements at the ankle complex, such as ligaments, muscles and tendons, have intricate arrangements and exhibit transient and nonlinear behaviour. MethodsThis paper develops a musculoskeletal model of the ankle complex considering the biaxial ankle structure. The model provides estimates of overall mechanical characteristics (motion and moments) of ankle complex through consideration of forces applied along ligaments and muscle-tendon units. The dynamics of the ankle complex and its surrounding ligaments and muscle-tendon units is modelled and formulated into a state space model to facilitate simulations. A graphical user interface is also developed during this research in order to include the visual anatomical information by converting it to quantitative information on coordinates. FindingsValidation of the ankle model was carried out by comparing its outputs with those published in literature as well as with experimental data obtained from an existing parallel ankle rehabilitation robot. InterpretationQualitative agreement was observed between the model and measured data for both, the passive and active ankle motions during trials in terms of displacements and moments.en_US
dc.identifierDOI:10.1016/j.clinbiomech.2017.03.010
dc.identifier.citationPrashant K. Jamwal, Shahid Hussain, Yun Ho Tsoi, Mergen H. Ghayesh, Sheng Quan Xie, Musculoskeletal modelling of human ankle complex: Estimation of ankle joint moments, In Clinical Biomechanics, Volume 44, 2017, Pages 75-82en_US
dc.identifier.issn02680033
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0268003317300761
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/3091
dc.language.isoenen_US
dc.publisherClinical Biomechanicsen_US
dc.relation.ispartofClinical Biomechanics
dc.rights.license© 2017 Elsevier Ltd. All rights reserved.
dc.subjectAnkle jointen_US
dc.subjectMusculoskeletal modelen_US
dc.subjectJoint momentsen_US
dc.subjectParallel ankle robotsen_US
dc.titleMusculoskeletal modelling of human ankle complex: Estimation of ankle joint momentsen_US
dc.typeArticleen_US
elsevier.aggregationtypeJournal
elsevier.coverdate2017-05-01
elsevier.coverdisplaydateMay 2017
elsevier.endingpage82
elsevier.identifier.doi10.1016/j.clinbiomech.2017.03.010
elsevier.identifier.eid1-s2.0-S0268003317300761
elsevier.identifier.piiS0268-0033(17)30076-1
elsevier.identifier.pubmedid28351736
elsevier.identifier.scopusid85016022452
elsevier.openaccess0
elsevier.openaccessarticlefalse
elsevier.openarchivearticlefalse
elsevier.startingpage75
elsevier.teaserA musculoskeletal model for the ankle complex is vital in order to enhance the understanding of neuro-mechanical control of ankle motions, diagnose ankle disorders and assess subsequent treatments....
elsevier.volume44
workflow.import.sourcescience

Files

Collections