Literature DB >> 34139632

Time-integrated propulsive and braking impulses do not depend on walking speed.

Joan E Deffeyes1, Denise M Peters2.   

Abstract

BACKGROUND: Enhancing propulsion during walking is often a focus in physical therapy for those with impaired gait. However, there is no consensus in the literature for assessing braking and propulsion. Both are typically measured from the anterior-posterior ground reaction force (AP-GRF). While normalization of AP-GRF force by bodyweight is commonly done in the analysis, different methods for AP-GRF time axis normalization are used. RESEARCH QUESTION: Does walking speed affect propulsion and/or braking, and how do different methods for calculating propulsion and braking impact the conclusion, in both healthy adults and those with lower limb impairment?
METHODS: We investigated three different analysis methods for assessing propulsion. 1. BW-TimeIntegration: Bodyweight (BW) normalized time integration of AP-GRF (units of BWs). 2. BW-%StanceIntegration: BW normalized AP-GRF is resampled to percent stance phase prior to integration (units of BW%Stance). 3. BW-Peak: BW normalized peak force (units of BW). We applied these methods to two data sets. One data set included AP-GRFs from trials of slow, self-selected, and fast walking speeds for 203 healthy controls (HCs); a second data set included subjects with lower limb orthopedic injuries.
RESULTS: Using the BW-TimeIntegration method, we found no effect of walking speed on propulsion for HCs. Time integration over the longer stance phase of slower walking balanced the lower magnitude AP-GRFs of slower walking, resulting in a time-integrated impulse that was the same regardless of walking speed. In contrast, the other two methods that are not time integration methods found that propulsion increased with walking speed. Similarly, in the gait pathology data set, differences in results were found depending on the analysis method used. SIGNIFICANCE: For many gait studies concerning propulsion and/or braking, the impulse measure used should be related to the body's change of momentum, necessitating an analysis method with a time integration of the AP-GRF.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Braking; Gait; Ground reaction force; Normalization; Propulsion; Walking

Mesh:

Year:  2021        PMID: 34139632      PMCID: PMC8316424          DOI: 10.1016/j.gaitpost.2021.06.012

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.746


  26 in total

1.  Enhancing the ability of gait analyses to differentiate between groups: scaling gait data to body size.

Authors:  M R Pierrynowski; V Galea
Journal:  Gait Posture       Date:  2001-05       Impact factor: 2.840

2.  Sensitivity of gait parameters to the effects of anti-inflammatory and opioid treatments in knee osteoarthritis patients.

Authors:  Katherine A Boyer; Martin S Angst; Jessica Asay; Nicholas J Giori; Thomas P Andriacchi
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3.  The effect of walking speed on center of mass displacement.

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Journal:  J Rehabil Res Dev       Date:  2004 Nov-Dec

4.  Real-time feedback enhances forward propulsion during walking in old adults.

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Journal:  Clin Biomech (Bristol, Avon)       Date:  2013-10-30       Impact factor: 2.063

5.  Revised standards for statistical evidence.

Authors:  Valen E Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

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Authors:  Ryan Chang; Pedro A Rodrigues; Richard E A Van Emmerik; Joseph Hamill
Journal:  J Biomech       Date:  2014-06-11       Impact factor: 2.712

8.  Comprehensive non-dimensional normalization of gait data.

Authors:  Ornella Pinzone; Michael H Schwartz; Richard Baker
Journal:  Gait Posture       Date:  2015-12-02       Impact factor: 2.840

Review 9.  The Age-Associated Reduction in Propulsive Power Generation in Walking.

Authors:  Jason R Franz
Journal:  Exerc Sport Sci Rev       Date:  2016-10       Impact factor: 6.642

10.  GaiTRec, a large-scale ground reaction force dataset of healthy and impaired gait.

Authors:  Brian Horsak; Djordje Slijepcevic; Anna-Maria Raberger; Caterine Schwab; Marianne Worisch; Matthias Zeppelzauer
Journal:  Sci Data       Date:  2020-05-12       Impact factor: 6.444

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