Sensorimotor enhancement with a mixed reality system for balance and mobility rehabilitation.
Identifieur interne : 001D87 ( Ncbi/Curation ); précédent : 001D86; suivant : 001D88Sensorimotor enhancement with a mixed reality system for balance and mobility rehabilitation.
Auteurs : Joyce Fung [Canada] ; Claire F. PerezSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2011.
English descriptors
- KwdEn :
- Aged, Computer Simulation, Computer Systems, Equipment Design, Exercise, Exercise Therapy (instrumentation), Feedback, Female, Gait, Humans, Male, Middle Aged, Movement, Postural Balance, Rehabilitation (methods), Stroke (rehabilitation), Therapy, Computer-Assisted (methods), User-Computer Interface, Walking.
- MESH :
- instrumentation : Exercise Therapy.
- methods : Rehabilitation, Therapy, Computer-Assisted.
- rehabilitation : Stroke.
- Aged, Computer Simulation, Computer Systems, Equipment Design, Exercise, Feedback, Female, Gait, Humans, Male, Middle Aged, Movement, Postural Balance, User-Computer Interface, Walking.
Abstract
We have developed a mixed reality system incorporating virtual reality (VR), surface perturbations and light touch for gait rehabilitation. Haptic touch has emerged as a novel and efficient technique to improve postural control and dynamic stability. Our system combines visual display with the manipulation of physical environments and addition of haptic feedback to enhance balance and mobility post stroke. A research study involving 9 participants with stroke and 9 age-matched healthy individuals show that the haptic cue provided while walking is an effective means of improving gait stability in people post stroke, especially during challenging environmental conditions such as downslope walking.
DOI: 10.1109/IEMBS.2011.6091666
PubMed: 22255889
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pubmed:22255889Le document en format XML
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<author><name sortKey="Fung, Joyce" sort="Fung, Joyce" uniqKey="Fung J" first="Joyce" last="Fung">Joyce Fung</name>
<affiliation wicri:level="4"><nlm:affiliation>School of P & OT, McGill University, Montreal, Quebec, Canada. joyce.fung@mcgill.ca</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>School of P & OT, McGill University, Montreal, Quebec</wicri:regionArea>
<orgName type="university">Université McGill</orgName>
<placeName><settlement type="city">Montréal</settlement>
<region type="state">Québec</region>
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<author><name sortKey="Perez, Claire F" sort="Perez, Claire F" uniqKey="Perez C" first="Claire F" last="Perez">Claire F. Perez</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Sensorimotor enhancement with a mixed reality system for balance and mobility rehabilitation.</title>
<author><name sortKey="Fung, Joyce" sort="Fung, Joyce" uniqKey="Fung J" first="Joyce" last="Fung">Joyce Fung</name>
<affiliation wicri:level="4"><nlm:affiliation>School of P & OT, McGill University, Montreal, Quebec, Canada. joyce.fung@mcgill.ca</nlm:affiliation>
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<series><title level="j">Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</title>
<idno type="ISSN">1557-170X</idno>
<imprint><date when="2011" type="published">2011</date>
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<term>Computer Simulation</term>
<term>Computer Systems</term>
<term>Equipment Design</term>
<term>Exercise</term>
<term>Exercise Therapy (instrumentation)</term>
<term>Feedback</term>
<term>Female</term>
<term>Gait</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Movement</term>
<term>Postural Balance</term>
<term>Rehabilitation (methods)</term>
<term>Stroke (rehabilitation)</term>
<term>Therapy, Computer-Assisted (methods)</term>
<term>User-Computer Interface</term>
<term>Walking</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Rehabilitation</term>
<term>Therapy, Computer-Assisted</term>
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<term>Computer Systems</term>
<term>Equipment Design</term>
<term>Exercise</term>
<term>Feedback</term>
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<term>Gait</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
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<term>Postural Balance</term>
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<front><div type="abstract" xml:lang="en">We have developed a mixed reality system incorporating virtual reality (VR), surface perturbations and light touch for gait rehabilitation. Haptic touch has emerged as a novel and efficient technique to improve postural control and dynamic stability. Our system combines visual display with the manipulation of physical environments and addition of haptic feedback to enhance balance and mobility post stroke. A research study involving 9 participants with stroke and 9 age-matched healthy individuals show that the haptic cue provided while walking is an effective means of improving gait stability in people post stroke, especially during challenging environmental conditions such as downslope walking.</div>
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