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An ankle joint model-based image-matching motion analysis technique

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posted on 19.05.2016, 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.

Funding

This research project was made possible by resources donated by The Hong Kong Jockey Club Charities Trust.

History

School

  • Sport, Exercise and Health Sciences

Published in

Gait and Posture

Volume

34

Issue

1

Pages

71 - 75

Citation

MOK, K. ... et al., 2011. An ankle joint model-based image-matching motion analysis technique. Gait and Posture, 34 (1), pp.71-75.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This 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/

Publication date

2011

ISSN

0966-6362

eISSN

1879-2219

Language

en