Literature DB >> 35190317

Adaptive treadmill walking encourages persistent propulsion.

Margo C Donlin1, Kayla M Pariser2, Kaitlyn E Downer2, Jill S Higginson3.   

Abstract

BACKGROUND: Adaptive treadmills allow real-time changes in walking speed by responding to changes in step length, propulsion, or position on the treadmill. The stride-to-stride variability, or persistence, of stride time during overground, fixed-speed, and adaptive treadmill walking has been studied, but persistence of propulsion during adaptive treadmill walking remains unknown. Because increased propulsion is often a goal of post-stroke rehabilitation, knowledge of the stride-to-stride variability may aid rehabilitation protocol design. RESEARCH QUESTION: How do spatiotemporal and propulsive gait variables vary from stride to stride during adaptive treadmill walking, and how do they compare to fixed-speed treadmill walking?
METHODS: Eighteen young healthy subjects walked on an instrumented split-belt treadmill in the adaptive and fixed-speed modes for 10 minutes at their comfortable speed. Kinetic data was collected from the treadmill. Detrended fluctuation analysis was applied to the time series data. Shapiro-Wilk tests assessed normality and one-way repeated measures ANOVAs compared between adaptive, fixed-speed, and randomly shuffled conditions at a Bonferroni-corrected significance level of 0.0055.
RESULTS: Stride time, stride length, step length, and braking impulse were persistent (α > 0.5) in the adaptive and fixed-speed conditions. Adaptive and fixed-speed were different from each other. Stride speed was persistent in the adaptive condition and anti-persistent (α < 0.5) in the fixed-speed condition. Peak propulsive force, peak braking force, and propulsive impulse were persistent in the adaptive condition but not the fixed-speed condition (α ≈ 0.5). Net impulse was non-persistent in the adaptive and fixed-speed conditions. All variables were non-persistent in the shuffled condition. SIGNIFICANCE: During adaptive treadmill walking, increases in propulsive force and impulse persist for multiple strides. Persistence was stronger on the adaptive treadmill, where increased propulsion translates into increased walking speed. For post-stroke gait rehabilitation where increasing propulsion and speed are goals, the stronger persistence of adaptive treadmill walking may be beneficial.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adaptive treadmill; Detrended fluctuation analysis; Propulsion; Self-paced treadmill; Stride-to-stride variability

Mesh:

Year:  2022        PMID: 35190317      PMCID: PMC8930561          DOI: 10.1016/j.gaitpost.2022.02.017

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


  27 in total

1.  A feedback-controlled treadmill (treadmill-on-demand) and the spontaneous speed of walking and running in humans.

Authors:  Alberto E Minetti; Lorenzo Boldrini; Laura Brusamolin; Paola Zamparo; Tom McKee
Journal:  J Appl Physiol (1985)       Date:  2003-04-11

2.  The effect of treadmill walking on the stride interval dynamics of children.

Authors:  Jillian A Fairley; Ervin Sejdić; Tom Chau
Journal:  Hum Mov Sci       Date:  2010-12       Impact factor: 2.161

3.  Reliability of the long-range power-law correlations obtained from the bilateral stride intervals in asymptomatic volunteers whilst treadmill walking.

Authors:  Michael Raymond Pierrynowski; Anita Gross; Melissa Miles; Victoria Galea; Laurie McLaughlin; Colleen McPhee
Journal:  Gait Posture       Date:  2005-08       Impact factor: 2.840

Review 4.  Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking.

Authors:  Jeffrey M Hausdorff
Journal:  Hum Mov Sci       Date:  2007-07-05       Impact factor: 2.161

5.  Walking speed and spatiotemporal step mean measures are reliable during feedback-controlled treadmill walking; however, spatiotemporal step variability is not reliable.

Authors:  Casey Wiens; William Denton; Molly N Schieber; Ryan Hartley; Vivien Marmelat; Sara A Myers; Jennifer M Yentes
Journal:  J Biomech       Date:  2018-12-07       Impact factor: 2.712

6.  Walking speed influences on gait cycle variability.

Authors:  Kimberlee Jordan; John H Challis; Karl M Newell
Journal:  Gait Posture       Date:  2006-09-18       Impact factor: 2.840

7.  Transitions in persistence of postural dynamics depend on the velocity and structure of postural perturbations.

Authors:  Troy J Rand; Mukul Mukherjee
Journal:  Exp Brain Res       Date:  2018-03-21       Impact factor: 1.972

8.  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

9.  Is walking a random walk? Evidence for long-range correlations in stride interval of human gait.

Authors:  J M Hausdorff; C K Peng; Z Ladin; J Y Wei; A L Goldberger
Journal:  J Appl Physiol (1985)       Date:  1995-01

10.  Detrended fluctuation analysis and adaptive fractal analysis of stride time data in Parkinson's disease: stitching together short gait trials.

Authors:  Marietta Kirchner; Patric Schubert; Magnus Liebherr; Christian T Haas
Journal:  PLoS One       Date:  2014-01-23       Impact factor: 3.240

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