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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: | Health Sciences |
Research Group: | Sports science and exercise |
Research Field: | Motor control |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Clinical health not elsewhere classified |
UTAS Author: | St George, RJ (Dr Rebecca St George) |
ID Code: | 116322 |
Year Published: | 2012 |
Web of Science® Times Cited: | 191 |
Deposited By: | Psychology |
Deposited On: | 2017-05-05 |
Last Modified: | 2017-10-31 |
Downloads: | 129 View Download Statistics |
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