Evaluating dynamic similarity of fixed, self-selected and anatomically scaled speeds in non-linear analysis of gait during treadmill running

Strongman, Clare and Morrison, Andrew (2021) Evaluating dynamic similarity of fixed, self-selected and anatomically scaled speeds in non-linear analysis of gait during treadmill running. Human Movement Science, 76. p. 102768. ISSN 1872-7646

[img] Text
Accepted Version
Restricted to Repository staff only until 5 August 2022.
Available under the following license: Creative Commons Attribution Non-commercial No Derivatives.

Download (626kB)
Official URL: https://doi.org/10.1016/j.humov.2021.102768

Abstract

Objectives: The aim of this study is to evaluate how speed affects non-linear measures of variability. Fixed and self-selected speeds were compared to an anatomically scaled speed calculated based on leg length to evaluate which provided a more reproducible result between subjects. Methods: Sixteen subjects ran on a treadmill at a fixed, calculated and self-selected speed and at ±10% in each case. Kinematic data were collected for two minutes at 250Hz for each trial. Sample entropy (SaEn) and maximum Lyapunov exponents (LyE) were calculated from the sagittal knee and hip joint angles to evaluate rigidity of gait and local stability. These nonlinear measures were compared to evaluate the dynamic similarity of the movement in each case, and to evaluate speed as a confounding variable in non-linear analysis. Results: An anatomically scaled speed shows more dynamic similarity than a fixed or self-selected speed with the lowest observed coefficient of variation for each measure. This was found to be statistically significant for both nonlinear measures of the hip (SaEn p=0.038; LyE p=0.040). Speed was not found to be a confounding variable in non-linear analysis of running gait of a healthy population (2 < 0.05). Conclusions: Changes in speed by ±10% do not significantly affect stability and variability of gait for healthy participants, suggesting that they make adaptations to ensure optimal gait variability. Anatomically scaled speeds provide a more reliable methodology for both linear and non-linear analysis by providing a definitive protocol, suggesting it could replace self-selected or fixed speeds in future research.

Item Type: Journal Article
Keywords: Non-linear analysis, speed, Froude, running, gait
Faculty: Faculty of Science & Engineering
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 02 Feb 2021 11:16
Last Modified: 17 Feb 2021 10:44
URI: https://arro.anglia.ac.uk/id/eprint/706237

Actions (login required)

Edit Item Edit Item