van Gelder, L.M.A. orcid.org/0000-0002-4124-2052, Angelini, L., Buckley, E.E. orcid.org/0000-0002-0968-6286 et al. (1 more author) (2021) A proposal for a linear calculation of gait asymmetry. Symmetry, 13 (9). 1560. ISSN 2073-8994
Abstract
Pathological gait is often associated with a lack of symmetry. A possible way to quantify this feature is to use acceleration data measured by a sensor located on the lower trunk. The most common approach calculates a symmetry index starting from the autocorrelation function, aiming to measure the divergence in motion of the left and right sides of the body. The various methods proposed to implement this approach are based on nonlinear and discontinuous functions, and the interpretation of their output is far from straightforward. The aim of this study was to propose a linear and easier to interpret quantification measure for gait asymmetry. The proposed measure was tested on data from healthy controls and from patients with Multiple Sclerosis and Parkinson’s Disease, and it was shown to negate the flaws present in previous methods and to provide more directly interpretable results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 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 (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | asymmetry; gait; accelerometer; IMU |
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) |
Funding Information: | Funder Grant number NATIONAL INSTITUTE FOR HEALTH RESEARCH IS-BRC-1215-20017 EUROPEAN COMMISSION - HORIZON 2020 820820 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/K03877X/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S032940/1 Engineering and Physical Sciences Research Council EP/K03877X/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Sep 2021 13:05 |
Last Modified: | 03 Sep 2021 13:12 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/sym13091560 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177751 |