Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19666
Title: Biomechanical gait features associated with hip osteoarthritis: Towards a better definition of clinical hallmarks
Authors: Meyer, Christophe A. G.
CORTEN, Kristoff 
FIEUWS, Steffen 
Deschamps, Kevin
Monari, Davide
Wesseling, Mariska
Simon, Jean-Pierre
Desloovere, Kaat
Issue Date: 2015
Publisher: WILEY-BLACKWELL
Source: JOURNAL OF ORTHOPAEDIC RESEARCH, 33 (10), p. 1498-1507
Abstract: Critical appraisal of the literature highlights that the discriminative power of gait-related features in patients with hip osteoarthritis (OA) has not been fully explored. We aimed to reduce the number of gait-related features and define the most discriminative ones comparing the three-dimensional gait analysis of 20 patients with hip osteoarthritis (OA) with those of 17 healthy peers. First, principal component analysis was used to reduce the high-dimensional gait data into a reduced set of interpretable variables for further analysis, including tests for group differences. These differences were indicative for the selection of the top 10 variables to be included into linear discriminant analysis models (LDA). Our findings demonstrated the successful data reduction of hip osteoarthritic-related gait features with a high discriminatory power. The combination of the top variables into LDA models clearly separated groups, with a maximum misclassification error rate of 19%, estimated by cross-validation. Decreased hip/knee extension, hip flexion and internal rotation moment were gait features with the highest discriminatory power. This study listed the most clinically relevant gait features characteristics of hip OA. Moreover, it will help clinicians and physiotherapists understand the movement pathomechanics related to hip OA useful in the management and design of rehabilitation intervention. (c) 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:1498-1507, 2015.
Notes: [Meyer, Christophe A. G.; Deschamps, Kevin; Desloovere, Kaat] UZ Leuven, Fac Kinesiol & Rehabil Sci, Dept Rehabil Sci, Leuven, Belgium. [Meyer, Christophe A. G.; Simon, Jean-Pierre] Univ Hosp Leuven, UZ Pellenberg Orthoped Dept, Pellenberg, Belgium. [Meyer, Christophe A. G.; Deschamps, Kevin; Desloovere, Kaat] UZ Leuven, Univ Hosp Pellenberg, Lab Clin Mot Anal C MAL, Leuven, Belgium. [Corten, Kristoff] Ziekenhuis Oost Limburg Genk, Orthoped Assoc Genk, Genk, Belgium. [Fieuws, Steffen] KU Leuven Univ, I Biostat, Leuven, Belgium. [Fieuws, Steffen] Univ Hasselt, Leuven, Belgium. [Monari, Davide] Katholieke Univ Leuven, Fac Engn, Dept Mech Engn, Leuven, Belgium. [Wesseling, Mariska] Katholieke Univ Leuven, Human Movement Biomech Res Grp, Leuven, Belgium. [Simon, Jean-Pierre] Katholieke Univ Leuven, Fac Med, Dept Dev & Regenerat, Leuven, Belgium.
Keywords: hip osteoarthritis; motion analysis; gait; principal component analysis; discriminant analysis;hip osteoarthritis; motion analysis; gait; principal component analysis; discriminant analysis
Document URI: http://hdl.handle.net/1942/19666
ISSN: 0736-0266
e-ISSN: 1554-527X
DOI: 10.1002/jor.22924
ISI #: 000360589800011
Rights: © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.
Category: A1
Type: Journal Contribution
Validations: ecoom 2016
Appears in Collections:Research publications

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