Haptic biofeedback induces changes in ankle push-off during walking.


Journal

Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830

Informations de publication

Date de publication:
10 2019
Historique:
received: 01 06 2018
revised: 13 05 2019
accepted: 18 07 2019
pubmed: 4 9 2019
medline: 25 1 2020
entrez: 4 9 2019
Statut: ppublish

Résumé

Ankle push-off drives forward progression during gait. Reduced peak ankle moment and peak ankle power may contribute to the increased metabolic cost of walking observed in certain clinical populations. Biofeedback is an effective gait training tool, however biofeedback targeting ankle moment has not been previously studied. Does haptic biofeedback directly targeting ankle moment enable able-bodied adults to modulate peak ankle moment during gait? 20 able-bodied adults participated in the study. Participants completed a 90-second baseline walking trial, followed by two 2-minute trials with haptic biofeedback. Haptic biofeedback guided participants to either increase peak ankle moment (Feedback High), or decrease peak ankle moment (Feedback Low). Ten participants received haptic biofeedback alone; the other ten participants additionally received verbal suggestions of movement strategies they could adopt during the biofeedback trials. Two-way analysis of variance was used to determine the effect of walking condition and verbal instruction on key gait parameters. A main effect of walking condition on peak ankle moment and peak ankle power was observed (all P < 0.001). Peak ankle moment did not change from baseline during Feedback High, however peak ankle power was increased (P < 0.001). A decrease in peak ankle moment and peak ankle power was observed during Feedback Low (all P < 0.001). Verbal instruction had a significant interaction effect with walking condition in only a limited number of parameters (all P < 0.05). This study demonstrates the effects of haptic biofeedback targeting peak ankle moment during gait. While this study demonstrates that able-bodied individuals have some capacity to modulate their gait pattern in response to direct biofeedback on ankle moment, further investigation is required to develop a biofeedback paradigm that can increase peak ankle moment.

Sections du résumé

BACKGROUND
Ankle push-off drives forward progression during gait. Reduced peak ankle moment and peak ankle power may contribute to the increased metabolic cost of walking observed in certain clinical populations. Biofeedback is an effective gait training tool, however biofeedback targeting ankle moment has not been previously studied.
RESEARCH QUESTION
Does haptic biofeedback directly targeting ankle moment enable able-bodied adults to modulate peak ankle moment during gait?
METHODS
20 able-bodied adults participated in the study. Participants completed a 90-second baseline walking trial, followed by two 2-minute trials with haptic biofeedback. Haptic biofeedback guided participants to either increase peak ankle moment (Feedback High), or decrease peak ankle moment (Feedback Low). Ten participants received haptic biofeedback alone; the other ten participants additionally received verbal suggestions of movement strategies they could adopt during the biofeedback trials. Two-way analysis of variance was used to determine the effect of walking condition and verbal instruction on key gait parameters.
RESULTS
A main effect of walking condition on peak ankle moment and peak ankle power was observed (all P < 0.001). Peak ankle moment did not change from baseline during Feedback High, however peak ankle power was increased (P < 0.001). A decrease in peak ankle moment and peak ankle power was observed during Feedback Low (all P < 0.001). Verbal instruction had a significant interaction effect with walking condition in only a limited number of parameters (all P < 0.05).
SIGNIFICANCE
This study demonstrates the effects of haptic biofeedback targeting peak ankle moment during gait. While this study demonstrates that able-bodied individuals have some capacity to modulate their gait pattern in response to direct biofeedback on ankle moment, further investigation is required to develop a biofeedback paradigm that can increase peak ankle moment.

Identifiants

pubmed: 31479852
pii: S0966-6362(18)30658-1
doi: 10.1016/j.gaitpost.2019.07.252
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

76-82

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Christopher Schenck (C)

Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

Duncan Bakke (D)

Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

Thor Besier (T)

Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Department of Engineering Science, University of Auckland, Auckland, New Zealand. Electronic address: t.besier@auckland.ac.nz.

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