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Understanding dynamic stability from pelvis accelerometer data and the
relationship to balance and mobility in transtibial amputees

HOWCROFT J; LEMAIRE ED; KOFMAN J; KENDELL C
GAIT POSTURE , 2015, vol. 41, n° 3, p. 808-812
Doc n°: 174691
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.gaitpost.2015.03.001
Descripteurs : DF11 - POSTURE. STATION DEBOUT, EB3 - AMPUTATION DU MEMBRE INFERIEUR

This study investigated whether pelvis acceleration-derived parameters can
differentiate between dynamic stability states for transtibial amputees during
level (LG) and uneven ground (UG) walking. Correlations between these parameters
and clinical balance and mobility measures were also investigated. A convenience
sample of eleven individuals with unilateral transtibial amputation walked on LG
and simulated UG while pelvis acceleration data were collected at 100Hz.
Descriptive statistics, Fast Fourier Transform, ratio of even to odd harmonics,
and maximum Lyapunov exponent measures were derived from acceleration data. Of
the 26 pelvis acceleration measures, seven had a significant difference
(p</=0.05) between LG and UG walking conditions. Seven distinct,
stability-relevant measures appeared in at least one of the six regression models
that correlated accelerometer-derived measures to Berg Balance Scale (BBS),
Community Balance and Mobility Scale (CBMS), and Prosthesis Evaluation
Questionnaire (PEQ) scores, explaining up to 100% of the variability in these
measures. Of these seven measures, medial-lateral acceleration range was the most
frequent model variable, appearing in four models. Anterior-posterior
acceleration standard deviation and stride time appeared in three models. Pelvis
acceleration-derived parameters were able to differentiate between LG and UG
walking for transtibial amputees. UG walking provided the most relevant data for
balance and mobility assessment. These results could translate to point of
patient contact assessments using a wearable system such as a smartbelt or
accelerometer-equipped smartphone.
CI - Copyright (c) 2015 Elsevier B.V. All rights reserved.

Langue : ANGLAIS

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