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Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed

Citation

Spain, RI and St George, RJ and Salarian, A and Mancini, M and Wagner, JM and Horak, FB and Bourdette, D, Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed, Gait & posture, 35, (4) pp. 573-578. ISSN 0966-6362 (2012) [Refereed Article]


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2017 Elsevier B.V. or its licensors or contributors.

DOI: doi:10.1016/j.gaitpost.2011.11.026

Abstract

While balance and gait limitations are hallmarks of multiple sclerosis (MS), standard stopwatchtimed measures practical for use in the clinic are insensitive in minimally affected patients. This prevents early detection and intervention for mobility problems. The study sought to determine if body-worn sensors could detect differences in balance and gait between people with MS with normal walking speeds and healthy controls. Thirty-one MS and twenty-eight age- and sexmatched control subjects were tested using body-worn sensors both during quiet stance and gait (Timed Up and Go test, TUG). Results were compared to stopwatch-timed measures. Stopwatch durations of the TUG and Timed 25 Foot Walk tests were not significantly different between groups. However, during quiet stance with eyes closed, people with MS had significantly greater sway acceleration amplitude than controls (p = 0.02). During gait, people with MS had greater trunk angular range of motion in roll (medio-lateral flexion, p = 0.017) and yaw (axial rotation, p = 0.026) planes. Turning duration through 180 was also longer in MS (p = 0.031). Thus, bodyworn motion sensors detected mobility differences between MS and healthy controls when traditional timed tests could not. This portable technology provides objective and quantitative mobility data previously not obtainable in the clinic, and may prove a useful outcome measure for early mobility changes in MS.

Item Details

Item Type:Refereed Article
Keywords:gait multiple sclerosis balance
Research Division:Medical and Health Sciences
Research Group:Human Movement and Sports Science
Research Field:Motor Control
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Neurodegenerative Disorders Related to Ageing
Author:St George, RJ (Dr Rebecca St George)
ID Code:116322
Year Published:2012
Web of Science® Times Cited:82
Deposited By:Psychology
Deposited On:2017-05-05
Last Modified:2017-10-31
Downloads:3 View Download Statistics

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