A computational framework for simultaneous estimation of muscle and joint contact forces and body motion using optimization and surrogate modeling

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dc.citation.firstpage56
dc.citation.journalTitleMedical Engineering & Physics
dc.citation.lastpage64
dc.citation.volumeNumber54
dc.contributor.authorEskinazi, Ilan
dc.contributor.authorFregly, Benjamin J.
dc.date.accessioned2019-12-11T15:44:29Z
dc.date.available2019-12-11T15:44:29Z
dc.date.issued2018
dc.description.abstractConcurrent estimation of muscle activations, joint contact forces, and joint kinematics by means of gradient-based optimization of musculoskeletal models is hindered by computationally expensive and non-smooth joint contact and muscle wrapping algorithms. We present a framework that simultaneously speeds up computation and removes sources of non-smoothness from muscle force optimizations using a combination of parallelization and surrogate modeling, with special emphasis on a novel method for modeling joint contact as a surrogate model of a static analysis. The approach allows one to efficiently introduce elastic joint contact models within static and dynamic optimizations of human motion. We demonstrate the approach by performing two optimizations, one static and one dynamic, using a pelvis-leg musculoskeletal model undergoing a gait cycle. We observed convergence on the order of seconds for a static optimization time frame and on the order of minutes for an entire dynamic optimization. The presented framework may facilitate model-based efforts to predict how planned surgical or rehabilitation interventions will affect post-treatment joint and muscle function.
dc.identifier.citationEskinazi, Ilan and Fregly, Benjamin J.. "A computational framework for simultaneous estimation of muscle and joint contact forces and body motion using optimization and surrogate modeling." <i>Medical Engineering & Physics,</i> 54, (2018) Elsevier: 56-64. https://doi.org/10.1016/j.medengphy.2018.02.002.
dc.identifier.digitalnihms946226
dc.identifier.doihttps://doi.org/10.1016/j.medengphy.2018.02.002
dc.identifier.urihttps://hdl.handle.net/1911/107863
dc.language.isoeng
dc.publisherElsevier
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier.
dc.subject.keywordMusculoskeletal
dc.subject.keywordModeling
dc.subject.keywordContact
dc.subject.keywordMuscle
dc.subject.keywordOptimization
dc.subject.keywordNeural network
dc.subject.keywordSurrogate
dc.subject.keywordMoment arms
dc.subject.keywordKnee
dc.subject.keywordJoint
dc.titleA computational framework for simultaneous estimation of muscle and joint contact forces and body motion using optimization and surrogate modeling
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
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