| Literature DB >> 21482114 |
Kam-Ming Mok1, Daniel Tik-Pui Fong, Tron Krosshaug, Aaron See-Long Hung, Patrick Shu-Hang Yung, Kai-Ming Chan.
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.Entities:
Mesh:
Year: 2011 PMID: 21482114 DOI: 10.1016/j.gaitpost.2011.03.014
Source DB: PubMed Journal: Gait Posture ISSN: 0966-6362 Impact factor: 2.840