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Development of a Compensation-aware Virtual Rehabilitation System for Upper Extremity Rehabilitation in Community-Dwelling Older Adults with Stroke
Preprint from
Research Square,
13 May 2021
DOI:
10.21203/rs.3.rs-511925/v1 PPR: PPR339494
Preprint
This article is a preprint. It may not have been peer reviewed.
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Abstract
Background:
Compensatory movements are commonly observed in older adults with stroke when they take motor practice for rehabilitation, which could limit their motor recovery.Aim :
This study aims to develop one virtual
rehabilitation system (VRS) that can detect and reduce compensatory
movements to improve the quality of upper extremity (UE) movements and
hence the outcome of rehabilitation in community-dwelling older adults
with stroke. Method : To design and validate the algorithm of
compensation detection equipped in VRS, a study was first conducted to
recruit 17 healthy and 6 stroke participants to identify and quantify
compensatory movements when they played rehabilitation games provided by
the VRS. Then a pilot study was conducted to test the feasibility and
efficacy of the VRS deployed in community, where 18 stroke participants
were assigned to either virtual reality (VR) group or conventional
treatment (CT) group, and each participant underwent 10 sessions of an
additional 6 minutes of VR games or CT respectively, on top of their
usual rehabilitation programme. Participants were assessed before and
after interventions using Fugl-Meyer Assessment-Upper Extremity
(FMA-UE), Wolf Motor Function Test(WMFT), Stroke Rehabilitation
Motivation Scale (SRMS), Range of Motion (ROM) measurements and the
number of compensatory movements.
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