A scoping review of non-linear analysis approaches measuring variability in gait due to lower body injury or dysfunction

Strongman, Clare and Morrison, Andrew ORCID logoORCID: https://orcid.org/0000-0003-2286-6676 (2020) A scoping review of non-linear analysis approaches measuring variability in gait due to lower body injury or dysfunction. Human Movement Science, 69. p. 102562. ISSN 1872-7646

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Official URL: https://doi.org/10.1016/j.humov.2019.102562


Objectives: The aim of this review is to evaluate and summarize existing literature using non-linear analysis methodology to consider variability of human movement due to lower limb injury or dysfunction. Design: Scoping review. Methods: An electronic keyword search was performed on three databases to identify appropriate research. This research was then examined for details of measures and 33 methodology, use of control groups and general study characteristics to identify related themes. Results: Fifteen papers were reviewed and synthesized. A range of conditions were studied, mainly affecting knee and ankle joints, and each using different non-linear methods and different equipment (motion capture, accelerometry, and muscle activation) to evaluate the mathematically chaotic nature of the movement and assess the variability in gait. Sample sizes and effect sizes are commonly small in these studies. Conclusions: Non-linear analysis is a potentially useful tool in both diagnosis and evaluation of injury, and this should inform future clinical processes when dealing with injury and movement variability. Despite numerous studies evaluating neurological conditions and ageing, focus on injury is limited, with notable gaps in terms of considering other joints and joint actions, so this should be a promising area of research to develop our understanding of injury and rehabilitation and how this affects gait variability.

Item Type: Journal Article
Keywords: Non-linear analysis, injury, variability, gait, review
Faculty: Faculty of Science & Engineering
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 06 Dec 2019 09:15
Last Modified: 09 Sep 2021 18:53
URI: https://arro.anglia.ac.uk/id/eprint/705012

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