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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
J. Sarvestan, P. Aghaie Ataabadi, M. Khaleghi Tazji, J. Hamill
Language English Country United States
Document type Journal Article
NLK
ProQuest Central
from 2003-01-01 to 2 months ago
Health & Medicine (ProQuest)
from 2003-01-01 to 2 months ago
- MeSH
- Running * physiology MeSH
- Biomechanical Phenomena MeSH
- Gait * physiology MeSH
- Adult MeSH
- Ankle Joint * physiology MeSH
- Knee Joint * physiology MeSH
- Hip Joint physiology MeSH
- Humans MeSH
- Young Adult MeSH
- Cross-Sectional Studies MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
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-1 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.
Biomechanics Laboratory University of Massachusetts Amherst MA USA
Human Motion Diagnostic Centre University of Ostrava Ostrava Czech Republic
References provided by Crossref.org
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- $a Sarvestan, Javad $u Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Alberta, Canada; Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Alberta, Canada; Human Motion Diagnostic Centre, University of Ostrava, Ostrava, Czech Republic. Electronic address: Javad.sarvestan@ucalgary.ca
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- $a Determining the optimum number of cycles for calculating joint coordination and its variability during running at different speeds: A timeseries analysis / $c J. Sarvestan, P. Aghaie Ataabadi, M. Khaleghi Tazji, J. Hamill
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- $a 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-1 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.
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- $a Hamill, Joseph $u Human Motion Diagnostic Centre, University of Ostrava, Ostrava, Czech Republic; Biomechanics Laboratory, University of Massachusetts, Amherst, MA, USA. Electronic address: Jhamill@kin.umass.edu
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