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강상훈

Kang, Sang Hoon
Robotics and Rehabilitation Engineering Lab.
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dc.citation.endPage 17 -
dc.citation.startPage 9 -
dc.citation.title JOURNAL OF NEUROSCIENCE METHODS -
dc.citation.volume 231 -
dc.contributor.author Kang, Sang Hoon -
dc.contributor.author Lee, Song Joo -
dc.contributor.author Zhang, Li-Qun -
dc.date.accessioned 2023-12-22T02:36:40Z -
dc.date.available 2023-12-22T02:36:40Z -
dc.date.created 2015-05-06 -
dc.date.issued 2014-07 -
dc.description.abstract Background: The external knee adduction moment (EKAM) is closely associated with the presence, progression, and severity of knee osteoarthritis (OA). However, there is a lack of convenient and practical method to estimate and track in real-time the EKAM of patients with knee OA for clinical evaluation and gait training, especially outside of gait laboratories.

New method: A real-time EKAM estimation method was developed and applied to track and investigate the EKAM and other knee moments during stepping on an elliptical trainer in both healthy subjects and a patient with knee OA.

Results: Substantial changes were observed in the EKAM and other knee moments during stepping in the patient with knee OA.

Comparison with existing method(s): This is the first study to develop and test feasibility of real-time tracking method of the EKAM on patients with knee OA using 3-D inverse dynamics.

Conclusions: The study provides us an accurate and practical method to evaluate in real-time the critical EKAM associated with knee OA, which is expected to help us to diagnose and evaluate patients with knee OA and provide the patients with real-time EKAM feedback rehabilitation training. (C) 2013 Elsevier B.V. All rights reserved.
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dc.identifier.bibliographicCitation JOURNAL OF NEUROSCIENCE METHODS, v.231, pp.9 - 17 -
dc.identifier.doi 10.1016/j.jneumeth.2013.12.001 -
dc.identifier.issn 0165-0270 -
dc.identifier.scopusid 2-s2.0-84902254622 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/11401 -
dc.identifier.wosid 000339148600003 -
dc.language 영어 -
dc.publisher ELSEVIER SCIENCE BV -
dc.title Real-time tracking of knee adduction moment in patients with knee osteoarthritis -
dc.type Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -

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