van Gelder, L.M.A. orcid.org/0000-0002-4124-2052, Barnes, A., Wheat, J.S. et al. (1 more author) (2018) Characterizing the learning effect in response to biofeedback aimed at reducing tibial acceleration during running. In: Espinosa, H.G., Rowlands, D.R., Shepherd, J. and Thiel, D.V., (eds.) Proceedings. The 12th Conference of the International Sports Engineering Association, 26-29 Mar 2019, Brisbane, Queensland, Australia. MDPI AG , p. 200.
Abstract
Increased tibial acceleration has been found to be an important risk factor for tibial stress fractures. Interventions aimed at reducing this variable which found a beneficial effect include the use of biofeedback in gait retraining. However, no studies have focused on the time participants take to modify tibial acceleration, therefore we aimed to find the start of a learning plateau in this study. Six participants ran on a treadmill while multisensory feedback was given. A single-subject analysis was used to characterise the learning effects. All participants changed peak tibial acceleration within the first step of running in the feedback condition. Two participants further reduced tibial acceleration to reach a plateau within 120 steps. In four of the six participants a strong effect of the feedback was still present after a week. Further research is needed to optimise the use of biofeedback in reducing the prevalence of tibial stress fractures.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 by the authors; Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Gait retraining; real-time feedback; tibial acceleration; stress fracture |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Dec 2021 15:06 |
Last Modified: | 15 Dec 2021 15:06 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/proceedings2060200 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181611 |