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An ankle joint model-based image-matching motion analysis technique
journal contributionposted on 2016-05-19, 14:09 authored by Kam-Ming Mok, Daniel FongDaniel Fong, Tron Krosshaug, Aaron See-Long Hung, Patrick Shu-Hang Yung, Kai-Ming Chan
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.
This research project was made possible by resources donated by The Hong Kong Jockey Club Charities Trust.
- Sport, Exercise and Health Sciences
Published inGait and Posture
Pages71 - 75
CitationMOK, K. ... et al., 2011. An ankle joint model-based image-matching motion analysis technique. Gait and Posture, 34 (1), pp.71-75.
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/