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DC Field | Value | Language |
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dc.citation.endPage | 343 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 334 | - |
dc.citation.title | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | - |
dc.citation.volume | 22 | - |
dc.contributor.author | Kang, Sang Hoon | - |
dc.contributor.author | Lee, Song Joo | - |
dc.contributor.author | Ren, Yupeng | - |
dc.contributor.author | Zhang, Li-Qun | - |
dc.date.accessioned | 2023-12-22T02:46:26Z | - |
dc.date.available | 2023-12-22T02:46:26Z | - |
dc.date.created | 2015-08-06 | - |
dc.date.issued | 2014-03 | - |
dc.description.abstract | The external knee adduction moment (EKAM) is associated with knee osteoarthritis (OA) in many aspects including presence, progression, and severity of knee OA. Despite of its importance, there is a lack of EKAM estimation methods that can provide patients with knee OA real-time EKAM biofeedback for training and clinical evaluations without using a motion analysis laboratory. A practical real-time EKAM estimation method, which utilizes kinematics measured by a simple six degree-of-freedom goniometer and kinetics measured by a multi-axis force sensor underneath the foot, was developed to provide real-time feedback of the EKAM to the patients during stepping on an elliptical trainer, which can potentially be used to control and alter the EKAM. High reliability (ICC(2,1): 0.9580) of the real-time EKAM estimation method was verified through stepping trials of seven subjects without musculoskeletal disorders. Combined with advantages of elliptical trainers including functional weight-bearing stepping and mitigation of impulsive forces, the real-time EKAM estimation method is expected to help patients with knee OA better control frontal plane knee loading and reduce knee OA development and progression. © 2013 IEEE. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.22, no.2, pp.334 - 343 | - |
dc.identifier.doi | 10.1109/TNSRE.2013.2291203 | - |
dc.identifier.issn | 1534-4320 | - |
dc.identifier.scopusid | 2-s2.0-84896476916 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/13402 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6665072 | - |
dc.identifier.wosid | 000342078300014 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Real-time knee adduction moment feedback training using an elliptical trainer | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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