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Accelerometry reveals differences in gait variability between patients with multiple sclerosis and healthy controls

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posted on 2023-05-19, 04:23 authored by Huisinga, JM, Mancini, M, Rebecca St GeorgeRebecca St George, Horak, FB
Variability of movement reflects important information for the maintenance of the health of the system. For pathological populations, changes in variability during gait signal the presence of abnormal motor control strategies. For persons with multiple sclerosis (PwMS), extensive gait problems have been reported including changes in gait variability. While previous studies have focused on footfall variability, the present study used accelerometers on the trunk to measure variability during walking. Thus, the purpose of this study was to examine the variability of the acceleration pattern of the upper and lower trunk in PwMS compared to healthy controls. We extracted linear and nonlinear measures of gait variability from 30 s of steady state walking for 15 PwMS and 15 age-matched healthy controls. PwMS had altered variability compared to controls with greater Lyapunov exponent in the ML (p < 0.001) and AP (p < 0.001) directions, and greater frequency dispersion in the ML direction (p = 0.034). PwMS also demonstrated greater mean velocity in the ML direction (p = 0.045) and lower root mean square of acceleration in the AP direction (p = 0.040). These findings indicate that PwMS have altered structure of variability of the trunk during gait compared to healthy controls and agree with previous findings related to changes in gait variability in PwMS.

History

Publication title

Annals of Biomedical Engineering

Volume

41

Issue

8

Pagination

1670-1679

ISSN

0090-6964

Department/School

School of Psychological Sciences

Publisher

Biomedical Engineering Soc Amer Inst Physics

Place of publication

United States

Rights statement

Copyright 2012 Biomedical Engineering Society. The final publication is available at Springer via http://dx.doi.org/10.1007/s10439-012-0697-y

Repository Status

  • Open

Socio-economic Objectives

Clinical health not elsewhere classified

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