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Kam-Ming Mok
Kam-Ming
Mok
Daniel Fong
Daniel
Fong
Tron Krosshaug
Tron
Krosshaug
Aaron See-Long Hung
Aaron See-Long
Hung
Patrick Shu-Hang Yung
Patrick Shu-Hang
Yung
Kai-Ming Chan
Kai-Ming
Chan
An ankle joint model-based image-matching motion analysis technique
Loughborough University
2016
Video analysis
Ankle joint motion
Injury biomechanics
Mechanical Engineering
Medical and Health Sciences not elsewhere classified
2016-05-19 14:09:09
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/An_ankle_joint_model-based_image-matching_motion_analysis_technique/9618284
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.