Real-time tracking of knee adduction moment in patients with knee osteoarthritis.

Citation data:

Journal of neuroscience methods, ISSN: 1872-678X, Vol: 231, Page: 9-17

Publication Year:
2014
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Repository URL:
http://scholarworks.unist.ac.kr/handle/201301/11401
PMID:
24361759
DOI:
10.1016/j.jneumeth.2013.12.001
PMCID:
PMC4061264
Author(s):
Kang, Sang Hoon; Lee, Song Joo; Zhang, Li-Qun
Publisher(s):
Elsevier BV; ELSEVIER SCIENCE BV
Tags:
Neuroscience; Knee adduction moment; Knee osteoarthritis (OA); Real-time estimation; Biofeedback; Diagnosis; Outcome evaluation
article description
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.