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

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 bon...

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Bibliographic Details
Published in:Gait & posture 2011-05, Vol.34 (1), p.71-75
Main Authors: Mok, Kam-Ming, Fong, Daniel Tik-Pui, Krosshaug, Tron, Hung, Aaron See-Long, Yung, Patrick Shu-Hang, Chan, Kai-Ming
Format: Article
Language:English
Subjects:
Ankle Joint - physiology
Ankle joint motion
Biomechanical Phenomena
Cadaver
Humans
Injury biomechanics
Orthopedics
Range of Motion, Articular - physiology
Reproducibility of Results
Shoes
Video analysis
Video Recording - instrumentation
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Summary: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.
ISSN:0966-6362
1879-2219
DOI:10.1016/j.gaitpost.2011.03.014