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dc.contributor.authorSartori, Massimo
dc.contributor.authorMaculan, Marco
dc.contributor.authorPizzolato, Claudio
dc.contributor.authorReggiani, Monica
dc.contributor.authorFarina, Dario
dc.date.accessioned2018-03-16T03:07:35Z
dc.date.available2018-03-16T03:07:35Z
dc.date.issued2015
dc.identifier.issn0022-3077
dc.identifier.doi10.1152/jn.00989.2014
dc.identifier.urihttp://hdl.handle.net/10072/101635
dc.description.abstractThis work presents an electrophysiologically and dynamically consistent musculoskeletal model to predict stiffness in the human ankle and knee joints as derived from the joints constituent biological tissues (i.e., the spanning musculotendon units). The modeling method we propose uses electromyography (EMG) recordings from 13 muscle groups to drive forward dynamic simulations of the human leg in five healthy subjects during overground walking and running. The EMG-driven musculoskeletal model estimates musculotendon and resulting joint stiffness that is consistent with experimental EMG data as well as with the experimental joint moments. This provides a framework that allows for the first time observing 1) the elastic interplay between the knee and ankle joints, 2) the individual muscle contribution to joint stiffness, and 3) the underlying co-contraction strategies. It provides a theoretical description of how stiffness modulates as a function of muscle activation, fiber contraction, and interacting tendon dynamics. Furthermore, it describes how this differs from currently available stiffness definitions, including quasi-stiffness and short-range stiffness. This work offers a theoretical and computational basis for describing and investigating the neuromuscular mechanisms underlying human locomotion.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAmerican Physiological Society
dc.relation.ispartofpagefrom2509
dc.relation.ispartofpageto2527
dc.relation.ispartofissue4
dc.relation.ispartofjournalJournal of Neurophysiology
dc.relation.ispartofvolume114
dc.subject.fieldofresearchMedical and Health Sciences not elsewhere classified
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchPsychology and Cognitive Sciences
dc.subject.fieldofresearchcode119999
dc.subject.fieldofresearchcode11
dc.subject.fieldofresearchcode17
dc.titleModeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorPizzolato, Claudio


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