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dc.contributor.authorSartori, Massimoen_US
dc.contributor.authorG. Lloyd, Daviden_US
dc.contributor.authorReggiani, Monicaen_US
dc.contributor.authorPagello, Enricoen_US
dc.contributor.editorTetsuo Kotokuen_US
dc.date.accessioned2017-04-24T13:33:17Z
dc.date.available2017-04-24T13:33:17Z
dc.date.issued2009en_US
dc.date.modified2011-08-16T07:29:35Z
dc.identifier.doi10.1109/ARSO.2009.5587058en_AU
dc.identifier.urihttp://hdl.handle.net/10072/40070
dc.identifier.urihttp://www.ieee-ras.org/event/arso-2009.htmlen_AU
dc.description.abstractNow more than ever, progresses in information technology applied to rehabilitation robotics give new hopes to people recovering from different kinds of diseases and injuries. Beside the standard application of EMG signals to analyze disabilities or to track progress in rehabilitation, more focus has been put on controlling robot arms and exoskeletons. In recent years, biomechanists have developed very complex neuromusculoskeletal (NM) models of human joints to understand how the nervous system controls muscles and generates movements. Aware of these potentials, we have started a process of simplification to obtain a NM model suitable for the realtime control for a lower extremity exoskeleton. In this paper we present the NM model for the knee previously developed by Lloyd et al. [1]. We then investigate the effects of assuming the tendon infinitely stiff and show how this simplification does not affect the capacity of the model to predict muscle force and joint moment. We also assess the decrease in processing time required to calibrate the model and perform runtime estimates of muscles. Finally, we illustrate the implications of our research for the health care economic and social systems.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent895764 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameARSO2009en_US
dc.relation.ispartofconferencetitle2009 IEEE Workshop on Advanced Robotics and its Social Inpactsen_US
dc.relation.ispartofdatefrom2009-11-23en_US
dc.relation.ispartofdateto2009-11-25en_US
dc.relation.ispartoflocationTokyo, Japanen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchBiomechanicsen_US
dc.subject.fieldofresearchcode110601en_US
dc.titleA Stiff Tendon Neuromusculoskeletal Model of the Kneeen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2009
gro.hasfulltextFull Text


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