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Kang, Sang Hoon
Robotics and Rehab. Engineering Lab (R2EL)
Research Interests
  • Rehabilitation Robotics & Mechatronic Tools, Biomechanics for Rehabilitation, Human Limb Impedance Estimation, Assistive and Healthcare robotics, Robust Motion/Force Control


Real-time knee adduction moment feedback training using an elliptical trainer

DC Field Value Language Kang, Sang Hoon ko Lee, Song Joo ko Ren, Yupeng ko Zhang, Li-Qun ko 2015-08-11T00:07:35Z - 2015-08-06 ko 2014-03 ko
dc.identifier.citation IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.22, no.2, pp.334 - 343 ko
dc.identifier.issn 1534-4320 ko
dc.identifier.uri -
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. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.title Real-time knee adduction moment feedback training using an elliptical trainer ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84896476916 ko
dc.identifier.wosid 000342078300014 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 0 * 2015-12-28 * 2015-11-04 *
dc.identifier.doi 10.1109/TNSRE.2013.2291203 ko
dc.identifier.url ko
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