Literature DB >> 35121382

Adaptive treadmill control can be manipulated to increase propulsive impulse while maintaining walking speed.

Kayla M Pariser1, Margo C Donlin2, Kaitlyn E Downer3, Jill S Higginson4.   

Abstract

Adaptive treadmills (ATM) designed to promote increased propulsion may be an effective tool for gait training since propulsion is often impaired post-stroke. Our lab developed a novel ATM controller that adjusts belt speed via real-time changes in step length, propulsive impulse, and position. This study modified the relative importance of propulsion to step length in the controller to determine the effect of increased propulsive feedback gain on measures of propulsion and walking speed. Twenty-two participants completed five trials at their self-selected speed, each with a unique ATM controller. Walking speed, peak AGRF and PGRF, and AGRF, PGRF, and net impulse were compared between the modifications using one-way repeated measures ANOVAs at a significance level of 0.05. Participants chose similar walking speeds across all conditions (all p > 0.2730). There were no significant differences in peak AGRF (p = 0.1956) or PGRF (p = 0.5159) between conditions. AGRF impulse significantly increased as the gain on the propulsive impulse term was increased relative to the gain on step length (p < 0.0001) while PGRF and net impulse were similar across all conditions (p = 0.5487). Increasing the propulsive impulse gain essentially alters the treadmill environment by providing a controlled amount of resistance to increases in propulsive forces. Our findings demonstrate that the ATM can be modified to promote increased propulsive impulse while maintaining a consistent walking speed. Since increasing propulsion is a common goal of post-stroke gait training, these ATM modifications may improve the efficacy of the ATM for gait rehabilitation.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive treadmill; Propulsion; Rehabilitation; Treadmill-based gait training; Walking

Mesh:

Year:  2022        PMID: 35121382      PMCID: PMC8891055          DOI: 10.1016/j.jbiomech.2022.110971

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  29 in total

1.  Determinants of walking function after stroke: differences by deficit severity.

Authors:  Shawnna L Patterson; Larry W Forrester; Mary M Rodgers; Alice S Ryan; Frederick M Ivey; John D Sorkin; Richard F Macko
Journal:  Arch Phys Med Rehabil       Date:  2007-01       Impact factor: 3.966

Review 2.  Human movement variability, nonlinear dynamics, and pathology: is there a connection?

Authors:  Nicholas Stergiou; Leslie M Decker
Journal:  Hum Mov Sci       Date:  2011-07-29       Impact factor: 2.161

3.  Individual limb mechanical analysis of gait following stroke.

Authors:  Caitlin E Mahon; Dominic J Farris; Gregory S Sawicki; Michael D Lewek
Journal:  J Biomech       Date:  2015-02-07       Impact factor: 2.712

4.  Maximum walking speed is a key determinant of long distance walking function after stroke.

Authors:  Louis N Awad; Darcy S Reisman; Tamara R Wright; Margaret A Roos; Stuart A Binder-Macleod
Journal:  Top Stroke Rehabil       Date:  2014 Nov-Dec       Impact factor: 2.119

5.  The relative contribution of ankle moment and trailing limb angle to propulsive force during gait.

Authors:  HaoYuan Hsiao; Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Hum Mov Sci       Date:  2014-12-12       Impact factor: 2.161

6.  Walking speed changes in response to novel user-driven treadmill control.

Authors:  Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  J Biomech       Date:  2018-07-29       Impact factor: 2.712

7.  Evaluation of measurements of propulsion used to reflect changes in walking speed in individuals poststroke.

Authors:  HaoYuan Hsiao; Thomas M Zabielski; Jacqueline A Palmer; Jill S Higginson; Stuart A Binder-Macleod
Journal:  J Biomech       Date:  2016-10-08       Impact factor: 2.712

8.  Speed-related but not detrended gait variability increases with more sensitive self-paced treadmill controllers at multiple slopes.

Authors:  Cesar R Castano; Helen J Huang
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

9.  Mechanisms to increase propulsive force for individuals poststroke.

Authors:  HaoYuan Hsiao; Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2015-04-18       Impact factor: 4.262

10.  A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation.

Authors:  Jungwon Yoon; Hyung-Soon Park; Diane Louise Damiano
Journal:  J Neuroeng Rehabil       Date:  2012-08-28       Impact factor: 4.262

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