Real-time tracking of knee adduction moment in patients with knee osteoarthritis
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- Real-time tracking of knee adduction moment in patients with knee osteoarthritis
- Kang, Sang Hoon; Lee, Song Joo; Zhang, Li-Qun
- Knee adduction moment; Knee osteoarthritis (OA); Real-time estimation; Biofeedback; Diagnosis; Outcome evaluation
- Issue Date
- ELSEVIER SCIENCE BV
- JOURNAL OF NEUROSCIENCE METHODS, v.231, no., pp.9 - 17
- 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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