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Use of Mobile Device Accelerometry to Enhance Evaluation of Postural Instability in Parkinson Disease

OZINGA SJ; LINDER SM; ALBERTS JL
ARCH PHYS MED REHABIL , 2017, vol. 98, n° 4, p. 649-658
Doc n°: 182632
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.apmr.2016.08.479
Descripteurs : AF5 - PARKINSON, DF12 - PATHOLOGIE - EQUILIBRATION
Article consultable sur : http://www.archives-pmr.org

OBJECTIVE: To determine the accuracy of inertial measurement unit data from a
mobile device using the mobile device relative to posturography to quantify
postural stability in individuals with Parkinson disease (PD). DESIGN: Criterion standard. SETTING: Motor control laboratory at a clinic. PARTICIPANTS: A sample
(N=28) of individuals with mild to moderate PD (n=14) and age-matched
community-dwelling individuals without PD (n=14) completed the study.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Center of mass (COM)
acceleration measures were compared between the mobile device and the NeuroCom
force platform to determine the accuracy of mobile device measurements during
performance of the Sensory Organization Test (SOT). Analyses examined test-retest
reliability of both systems and sensitivity of (1) the equilibrium score from the
SOT and (2) COM acceleration measures from the force platform and mobile device
to quantify postural stability across populations. RESULTS: Metrics of COM
acceleration from inertial measurement unit data and the NeuroCom force platform
were significantly correlated across balance conditions and groups (Pearson r
range, .35 to .97). The SOT equilibrium scores failed to discriminate individuals
with and without PD. However, the multiplanar measures of COM acceleration from
the mobile device exhibited good to excellent reliability across SOT conditions
and were able to discriminate individuals with and without PD in conditions with
the greatest balance demands. CONCLUSIONS: Metrics employing medial-lateral
movement produce a more sensitive outcome than the equilibrium score in
identifying postural instability associated with PD. Overall, the output from the
mobile device provides an accurate and reliable method of rapidly quantifying
balance in individuals with PD. The portable and affordable nature of a mobile
device with the application makes it ideally suited to use biomechanical data to
aid in clinical decision making.
CI - Copyright (c) 2016 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS

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