Literature DB >> 25737235

Training conditions that best reproduce the joint powers of unsupported walking.

Lise Worthen-Chaudhari1, James P Schmiedeler2, D Michele Basso3.   

Abstract

OBJECTIVE: To identify the clinically relevant combinations of body weight support and speed that best reproduce the joint powers of unsupported walking.
METHODS: Timing and magnitude of lower extremity joint powers were calculated for 8 neurologically intact volunteers (4M/4F) walking with 0%, 30% and 50% body weight support at three speeds (slow, comfortable, and fast). Lower extremity joint power absorption was analyzed during weight acceptance and forward propulsion. In addition, power generation was analyzed during forward propulsion. Timings and magnitudes of joint powers per condition were evaluated to identify the training combinations of body weight support and speed that best preserved the powers of unsupported walking at slow, comfortable and fast speeds.
RESULTS: For all speeds examined, increasing body weight support to 30% without changing speed provided the best match. In general, changes in speed disrupted the joint power magnitudes and timings more than application of body weight support. Increasing body weight support when faster training speeds were used proved a viable method for reproducing the joint powers of slow, unsupported walking.
CONCLUSIONS: These data provide a reference for understanding the effect of potential training conditions on power absorption and generation within the lower extremity joints during walking. It is possible to reproduce the joint powers of unsupported walking with certain combinations of body weight support and speed. We recommend applying adequate levels of BWS when training speeds are faster than the overground speed goal, as occurs during treadmill-based locomotor rehabilitation of individuals with incomplete spinal cord injury.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomechanics; Gait; Locomotor training; Neurorehabilitation; Spinal cord injury; Weight acceptance

Mesh:

Year:  2015        PMID: 25737235     DOI: 10.1016/j.gaitpost.2015.01.003

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


  2 in total

1.  Body weight support impacts lateral stability during treadmill walking.

Authors:  Andrew C Dragunas; Keith E Gordon
Journal:  J Biomech       Date:  2016-06-01       Impact factor: 2.712

2.  Influence of body weight unloading on human gait characteristics: a systematic review.

Authors:  Salil Apte; Michiel Plooij; Heike Vallery
Journal:  J Neuroeng Rehabil       Date:  2018-06-20       Impact factor: 4.262

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.