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Author

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

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

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Title
Real-time knee adduction moment feedback training using an elliptical trainer
Author
Kang, Sang HoonLee, Song JooRen, YupengZhang, Li-Qun
Keywords
Center of pressure (COP); knee adduction moment; knee osteoarthritis (OA); Real-time biofeedback
Issue Date
201403
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.22, no.2, pp.334 - 343
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.
URI
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DOI
http://dx.doi.org/10.1109/TNSRE.2013.2291203
ISSN
1534-4320
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