An optimal control framework to predict gait patterns resulting from changes in musculoskeletal properties

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dc.contributor.authorSANTOS, G. F.
dc.contributor.authorGOMES, A. A.
dc.contributor.authorSACCO, I. C. N.
dc.contributor.authorMarco Ackermann
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-0252-5228
dc.date.accessioned2022-01-12T21:59:16Z
dc.date.available2022-01-12T21:59:16Z
dc.date.issued2016-08-18
dc.description.abstractA musculoskeletal model allows the analysis of the human gait and may aid the investigation of different strategies employed by the human body to perform this important task. This study presents a planar multibody model of the musculoskeletal system and an optimal control approach to obtain the time history of motion and muscle activation during the gait. Passive joint moments and muscle properties of the model are modified to represent potential changes caused by different diseases, such as diabetic neuropathy. The system adaptation is predicted on the basis of an optimal control framework and the results show many global adaptations as a response to local changes in the properties of the musculoskeletal system and evidences the great potential of this framework to predict patient adaptations to disease, assistive devices or surgical interventions.
dc.description.firstpage225
dc.description.lastpage230
dc.identifier.citationSANTOS, G. F.; GOMES, A. A.; SACCO, I. C. N. ACKERMANN, M. An optimal control framework to predict gait patterns resulting from changes in musculoskeletal properties. Proceedings of the 6th IASTED International Conference on Modelling, Simulation and Identification, MSI 2016, p. 225-230, August. 2016.
dc.identifier.doi10.2316/P.2016.840-065
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3919
dc.relation.ispartofProceedings of the 6th IASTED International Conference on Modelling, Simulation and Identification, MSI 2016
dc.rightsAcesso Restrito
dc.subject.otherlanguageGait
dc.subject.otherlanguageMusculoskeletal model
dc.subject.otherlanguageOptimal control
dc.subject.otherlanguageSimulation
dc.titleAn optimal control framework to predict gait patterns resulting from changes in musculoskeletal properties
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-85015700102
fei.scopus.subjectDiabetic neuropathy
fei.scopus.subjectGait
fei.scopus.subjectMusculoskeletal model
fei.scopus.subjectOptimal control frameworks
fei.scopus.subjectOptimal controls
fei.scopus.subjectPassive joint moments
fei.scopus.subjectSimulation
fei.scopus.subjectSurgical interventions
fei.scopus.updated2024-05-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015700102&origin=inward
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