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dc.contributor.authorKhanna, Ira
dc.contributor.authorRoy, Anindo
dc.contributor.authorKrebs, Hermano Igo
dc.contributor.authorRodger, Mary M.
dc.contributor.authorMacko, Richard M.
dc.contributor.authorForrester, Larry W.
dc.date.accessioned2010-09-28T20:39:57Z
dc.date.available2010-09-28T20:39:57Z
dc.date.issued2010-05
dc.date.submitted2009-11
dc.identifier.issn1743-0003
dc.identifier.otherPMCID: PMC2887457
dc.identifier.urihttp://hdl.handle.net/1721.1/58740
dc.description.abstractBackground Hemiparesis after stroke often leads to impaired ankle motor control that impacts gait function. In recent studies, robotic devices have been developed to address this impairment. While capable of imparting forces to assist during training and gait, these devices add mass to the paretic leg which might encumber patients' gait pattern. The purpose of this study was to assess the effects of the added mass of one of these robots, the MIT's Anklebot, while unpowered, on gait of chronic stroke survivors during overground and treadmill walking. Methods Nine chronic stroke survivors walked overground and on a treadmill with and without the anklebot mounted on the paretic leg. Gait parameters, interlimb symmetry, and joint kinematics were collected for the four conditions. Repeated-measures analysis of variance (ANOVA) tests were conducted to examine for possible differences across four conditions for the paretic and nonparetic leg. Results The added inertia and friction of the unpowered anklebot had no statistically significant effect on spatio-temporal parameters of gait, including paretic and nonparetic step time and stance percentage, in both overground and treadmill conditions. Noteworthy, interlimb symmetry as characterized by relative stance duration was greater on the treadmill than overground regardless of loading conditions. The presence of the unpowered robot loading reduced the nonparetic knee peak flexion on the treadmill and paretic peak dorsiflexion overground (p < 0.05). Conclusions Our results suggest that for these subjects the added inertia and friction of this backdriveable robot did not significantly alter their gait pattern.en_US
dc.description.sponsorshipBaltimore Veterans Affairs Medical Center ("Center of Excellence on Task-Oriented Exercise and Robotics in Neurological Diseases" under Grant B3688R)en_US
dc.description.sponsorshipVA Medical Center Baltimore Geriatrics Researchen_US
dc.description.sponsorshipGeriatric Research Education and Clinical Centersen_US
dc.description.sponsorshipUniversity of Maryland at Baltimore. School of Medicineen_US
dc.description.sponsorshipVA Advanced Career Development Award (grant B3390K)en_US
dc.description.sponsorshipNational Institute on Aging (Claude D. Pepper Older Americans Independence Act Center) Pepper Center grant P60AG12583)en_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/1743-0003-7-23en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Central Ltden_US
dc.titleEffects of unilateral robotic limb loading on gait characteristics in subjects with chronic strokeen_US
dc.typeArticleen_US
dc.identifier.citationKhanna, Ira et al. “Effects of unilateral robotic limb loading on gait characteristics in subjects with chronic stroke.” Journal of NeuroEngineering and Rehabilitation 7.1 (2010): 23.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorRoy, Anindo
dc.contributor.mitauthorKrebs, Hermano Igo
dc.relation.journalJournal of NeuroEngineering and Rehabilitationen_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pmid20492698
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2010-09-03T16:19:49Z
dc.language.rfc3066en
dc.rights.holderKhanna et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsKhanna, Ira; Roy, Anindo; Rodgers, Mary M; Krebs, Hermano I; Macko, Richard M; Forrester, Larry Wen
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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