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

Mok, Kam-Ming; Fong, Daniel Tik-Pui; Krosshaug, Tron; Hung, Aaron See-Long; Yung, Patrick Shu-Hang; Chan, Kai-Ming
Journal article, Peer reviewed
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krosshaug_g&p_2011.pdf (127.3Kb)
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http://hdl.handle.net/11250/170924
Issue date
2011-05
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  • Artikler / Articles [890]
Original version
Gait & Posture. 2011, 34(1), 71-75  
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.
Description
I Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på www.sciencedirect.com: http://dx.doi.org/10.1016/j.gaitpost.2011.03.014 / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The original publication is available at www.sciencedirect.com: http://dx.doi.org/10.1016/j.gaitpost.2011.03.014
Publisher
Elsevier
Journal
Gait & Posture

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