Title :
Real-Time Knee Adduction Moment Feedback Training Using an Elliptical Trainer
Author :
Sang Hoon Kang ; Song Joo Lee ; Yupeng Ren ; Li-Qun Zhang
Author_Institution :
Dept. of Phys. Med. & Rehabilitation, Northwestern Univ., Chicago, IL, USA
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.
Keywords :
biomedical equipment; diseases; force feedback; force measurement; force sensors; gait analysis; goniometers; kinematics; medical computing; EKAM estimation methods; elliptical trainer; external knee adduction moment; functional weight-bearing stepping; impulsive force mitigation; kinematics measurement; kinetics measurement; knee OA real-time EKAM biofeedback; knee osteoarthritis presence; knee osteoarthritis progression; knee osteoarthritis severity; multiaxis force sensor; real-time knee adduction moment feedback training; simple six degree-of-freedom goniometer; Dynamics; Estimation; Foot; Goniometers; Kinematics; Knee; Real-time systems; Center of pressure (COP); knee adduction moment; knee osteoarthritis (OA); real-time biofeedback;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2013.2291203