Upper Extremity Function Assessment Using a Glove Orthosis and Virtual Reality System

Hand motor control deficits following stroke can diminish the ability of patients to participate in daily activities. This study investigated the criterion validity of upper extremity (UE) performance measures automatically derived from sensor data during manual practice of simulated instrumental ac...

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Bibliographic Details
Published in:OTJR (Thorofare, N.J.) N.J.), 2019-04, Vol.39 (2), p.81-89
Main Authors: Adams, Richard J., Ellington, Allison L., Armstead, Kate, Sheffield, Kristen, Patrie, James T., Diamond, Paul T.
Format: Article
Language:English
Subjects:
Activities of Daily Living
Adult
Aged
Aged, 80 and over
Assessments
Computer applications
Computer simulation
Correlation analysis
Female
Gold
Humans
Male
Middle Aged
Motor task performance
Motors
Occupational Therapy
Orthoses
Orthotic Devices
Paresis - rehabilitation
Patients
Recovery of Function
Statistical analysis
Stroke Rehabilitation
Treatment Outcome
Virtual environments
Virtual Reality
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Summary:Hand motor control deficits following stroke can diminish the ability of patients to participate in daily activities. This study investigated the criterion validity of upper extremity (UE) performance measures automatically derived from sensor data during manual practice of simulated instrumental activities of daily living (IADLs) within a virtual environment. A commercial glove orthosis was specially instrumented with motion tracking sensors to enable patients to interact, through functional UE movements, with a computer-generated virtual world using the SaeboVR software system. Fifteen stroke patients completed four virtual IADL practice sessions, as well as a battery of gold-standard assessments of UE motor and hand function. Statistical analysis using the nonparametric Spearman rank correlation reveals high and significant correlation between virtual world-derived measures and the gold-standard assessments. The results provide evidence that performance measures generated during manual interactions with a virtual environment can provide a valid indicator of UE motor status.
ISSN:1539-4492
1938-2383
DOI:10.1177/1539449219829862