| An ankle joint model-based image-matching motion analysis technique. | |
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MedLine Citation:
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PMID: 21482114 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Kam-Ming Mok; Daniel Tik-Pui Fong; Tron Krosshaug; Aaron See-Long Hung; Patrick Shu-Hang Yung; Kai-Ming Chan |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-7 |
Journal Detail:
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Title: Gait & posture Volume: - ISSN: 1879-2219 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9416830 Medline TA: Gait Posture Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier B.V. All rights reserved. |
Affiliation:
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Department of Orthopaedics and Traumatology, Prince of Wales Hospital, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China; The Hong Kong Jockey Club Sports Medicine and Health Sciences Centre, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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