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Determining the optimum number of cycles for calculating joint coordination and its variability during running at different speeds: A timeseries analysis.
- Source :
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Journal of biomechanics [J Biomech] 2024 Nov; Vol. 176, pp. 112375. Date of Electronic Publication: 2024 Oct 19. - Publication Year :
- 2024
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Abstract
- Understanding the intricacies of human movement coordination and variability during running is crucial to unraveling the dynamics of locomotion, identifying potential injury mechanisms and understanding skill development. Identification of minimum number of cycles for calculation of reliable coordination and its variability could help with better test organization and efficient assessment time. By adopting a cross-sectional study design, this study investigated the minimum required cycles for calculating hip-knee, hip-ankle and knee-ankle coordination and their variability using a continuous relative phase (CRP) method. Twenty-nine healthy adults ran on a treadmill at speeds of 9, 12.5, and 16 km.h <superscript>-1</superscript> while 3D kinematic data of their lower limbs were recorded using 6 optoelectronic cameras. Using Intraclass Correlation Coefficient (ICC) analysis, reliability between CRP and its variability (CRPv) in different gait cycles (3, 5, 10, 20, 30) was assessed for each speed. A minimum of 10 cycles was required for CRP calculation across all speeds, whereas CRPv necessitated a minimum of 30 cycles for moderate to good reliability. While increasing the number of cycles improved ICC values for inter-joint CRP, the same trend was not consistently observed for CRPv, emphasizing the importance of separately assessing CRP and its variability metrics.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024. Published by Elsevier Ltd.)
Details
- Language :
- English
- ISSN :
- 1873-2380
- Volume :
- 176
- Database :
- MEDLINE
- Journal :
- Journal of biomechanics
- Publication Type :
- Academic Journal
- Accession number :
- 39447521
- Full Text :
- https://doi.org/10.1016/j.jbiomech.2024.112375