Literature DB >> 25804844

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

Jennifer Howcroft1, Edward D Lemaire2, Jonathan Kofman3, Cynthia Kendell4.   

Abstract

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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acceleration; Dynamic stability; Gait; Transtibial amputee; Wearable sensor

Mesh:

Year:  2015        PMID: 25804844     DOI: 10.1016/j.gaitpost.2015.03.001

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  IMU-based gait analysis in lower limb prosthesis users: Comparison of step demarcation algorithms.

Authors:  Gerasimos Bastas; Joshua J Fleck; Richard A Peters; Karl E Zelik
Journal:  Gait Posture       Date:  2018-05-22       Impact factor: 2.840

2.  Characterizing the Gait of People With Different Types of Amputation and Prosthetic Components Through Multimodal Measurements: A Methodological Perspective.

Authors:  Cristiano De Marchis; Simone Ranaldi; Tiwana Varrecchia; Mariano Serrao; Stefano Filippo Castiglia; Antonella Tatarelli; Alberto Ranavolo; Francesco Draicchio; Francesco Lacquaniti; Silvia Conforto
Journal:  Front Rehabil Sci       Date:  2022-03-17

3.  Mechanical testing of frontal plane adaptability of commercially available prosthetic feet.

Authors:  Matthew M Wernke; Evandro M Ficanha; Zac Thomas; Murray E Maitland; Katheryn J Allyn; Alex Albury; James Colvin
Journal:  J Rehabil Assist Technol Eng       Date:  2022-09-07

4.  A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly.

Authors:  M Encarna Micó-Amigo; Idsart Kingma; Erik Ainsworth; Stefan Walgaard; Martijn Niessen; Rob C van Lummel; Jaap H van Dieën
Journal:  J Neuroeng Rehabil       Date:  2016-04-19       Impact factor: 4.262

  4 in total

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