Show simple item record

dc.contributor.authorKrishnaswamy, Pavitra
dc.contributor.authorBrown, Emery N.
dc.contributor.authorHerr, Hugh M.
dc.date.accessioned2011-10-17T13:27:16Z
dc.date.available2011-10-17T13:27:16Z
dc.date.issued2011-03
dc.date.submitted2010-08
dc.identifier.issn1553-7358
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/1721.1/66266
dc.description.abstractA common feature in biological neuromuscular systems is the redundancy in joint actuation. Understanding how these redundancies are resolved in typical joint movements has been a long-standing problem in biomechanics, neuroscience and prosthetics. Many empirical studies have uncovered neural, mechanical and energetic aspects of how humans resolve these degrees of freedom to actuate leg joints for common tasks like walking. However, a unifying theoretical framework that explains the many independent empirical observations and predicts individual muscle and tendon contributions to joint actuation is yet to be established. Here we develop a computational framework to address how the ankle joint actuation problem is resolved by the neuromuscular system in walking. Our framework is founded upon the proposal that a consideration of both neural control and leg muscle-tendon morphology is critical to obtain predictive, mechanistic insight into individual muscle and tendon contributions to joint actuation. We examine kinetic, kinematic and electromyographic data from healthy walking subjects to find that human leg muscle-tendon morphology and neural activations enable a metabolically optimal realization of biological ankle mechanics in walking. This optimal realization (a) corresponds to independent empirical observations of operation and performance of the soleus and gastrocnemius muscles, (b) gives rise to an efficient load-sharing amongst ankle muscle-tendon units and (c) causes soleus and gastrocnemius muscle fibers to take on distinct mechanical roles of force generation and power production at the end of stance phase in walking. The framework outlined here suggests that the dynamical interplay between leg structure and neural control may be key to the high walking economy of humans, and has implications as a means to obtain insight into empirically inaccessible features of individual muscle and tendons in biomechanical tasks.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH Pioneer Award DP1 OD003646)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Media Laboratory (Consortia Account 2736448)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Media Laboratory (Consortia Account 6895867)en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pcbi.1001107en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleHuman Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walkingen_US
dc.typeArticleen_US
dc.identifier.citationKrishnaswamy, Pavitra, Emery N. Brown, and Hugh M. Herr. “Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking.” Ed. Karl J. Friston. PLoS Computational Biology 7 (2011): e1001107.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverBrown, Emery N.
dc.contributor.mitauthorBrown, Emery N.
dc.contributor.mitauthorKrishnaswamy, Pavitra
dc.contributor.mitauthorHerr, Hugh M.
dc.relation.journalPLoS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKrishnaswamy, Pavitra; Brown, Emery N.; Herr, Hugh M.en
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
dc.identifier.orcidhttps://orcid.org/0000-0003-3169-1011
mit.licensePUBLISHER_CCen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record