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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21282

Title: An ankle joint model-based image-matching motion analysis technique
Authors: Mok, Kam-Ming
Fong, Daniel Tik-Pui
Krosshaug, Tron
Hung, Aaron See-Long
Yung, Patrick Shu-Hang
Chan, Kai-Ming
Keywords: Video analysis
Ankle joint motion
Injury biomechanics
Issue Date: 2011
Publisher: © Elsevier
Citation: MOK, K. ... et al., 2011. An ankle joint model-based image-matching motion analysis technique. Gait and Posture, 34 (1), pp.71-75.
Abstract: This study presented a model-based image-matching (MBIM) motion analysis technique for ankle joint kinematic measurement. Five cadaveric below-hip specimens were manipulated through a full range of ankle joint motions in bare-foot and shoed conditions. The ankle motions were analyzed by bone-pin marker-based motion analysis and MBIM motion analysis techniques respectively. The root mean square errors of all angles of motion were less than 3° The average Intraclass Correlation Coefficients (ICCs) for the intra-rater reliability were greater than 0.928 and the average ICCs for the inter-rater reliability were greater than 0.948 for all angles of motion. Excellent validity, intra-rater reliability and inter-rater reliability were achieved for the MBIM technique in both bare-foot and shoed conditions. The MBIM technique can therefore provide good estimates of ankle joint kinematics.
Sponsor: This research project was made possible by resources donated by The Hong Kong Jockey Club Charities Trust.
Version: Accepted for publication
DOI: 10.1016/j.gaitpost.2011.03.014
URI: https://dspace.lboro.ac.uk/2134/21282
Publisher Link: http://dx.doi.org/10.1016/j.gaitpost.2011.03.014
ISSN: 0966-6362
Appears in Collections:Published Articles (Sport, Exercise and Health Sciences)

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