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A new coordination pattern classification to assess gait kinematics when utilising a modified vector coding technique.

NEEDHAM, Robert, NAEMI, Roozbeh and CHOCKALINGAM, Nachiappan (2015) A new coordination pattern classification to assess gait kinematics when utilising a modified vector coding technique. Journal of biomechanics, 48 (12). pp. 3506-3511. ISSN 1873-2380

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Abstract or description

A modified vector coding (VC) technique was used to quantify lumbar-pelvic coordination during gait. The outcome measure from the modified VC technique is known as the coupling angle (CA) which can be classified into one of four coordination patterns. This study introduces a new classification for this coordination pattern that expands on a current data analysis technique by introducing the terms in-phase with proximal dominancy, in-phase with distal dominancy, anti-phase with proximal dominancy and anti-phase with distal dominancy. This proposed coordination pattern classification can offer an interpretation of the CA that provides either in-phase or anti-phase coordination information, along with an understanding of the direction of segmental rotations and the segment that is the dominant mover at each point in time. Classifying the CA against the new defined coordination patterns and presenting this information in a traditional time-series format in this study has offered an insight into segmental range of motion. A new illustration is also presented which details the distribution of the CA within each of the coordination patterns and allows for the quantification of segmental dominancy. The proposed illustration technique can have important implications in demonstrating gait coordination data in an easily comprehensible fashion by clinicians and scientists alike.

Item Type: Article
Faculty: Previous Faculty of Health Sciences > Psychology, Sport and Exercise
Depositing User: Nachiappan CHOCKALINGAM
Date Deposited: 20 Sep 2016 09:20
Last Modified: 24 Feb 2023 13:43
URI: https://eprints.staffs.ac.uk/id/eprint/2429

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