Title :
Development of an elliptical trainer with real-time knee adduction moment feedback
Author :
Sang Hoon Kang ; Song Joo Lee ; Yupeng Ren ; Li-Qun Zhang
Author_Institution :
Dept. of Phys. Med & Rehab, Northwestern Univ., Chicago, IL, USA
Abstract :
The external knee adduction moment (EKAM) is associated with knee osteoarthritis (OA) in many aspects including its presence, progression, and severity. Despite of its importance, there is a lack of EKAM estimation methods that can provide patients with knee OA a real-time EKAM biofeedback during training and be used for routine clinical evaluations outside motion analysis laboratories. Thus, a practical real-time EKAM estimation method, which utilizes kinematic variables from a simple 6-DOF goniometer, was developed to provide patients with knee OA a real-time feedback of their EKAM during stepping on elliptical trainers (ETs) to reduce the damaging EKAM. Feasibility of the proposed method was verified on seven healthy subjects. Combined with advantages of ETs (e.g., functional weight-bearing stepping, mitigation of delivery of impulsive forces), the real-time EKAM estimation method is expected to benefit patients with knee OA.
Keywords :
bone; gait analysis; goniometers; medical robotics; patient rehabilitation; patient treatment; robot kinematics; 6-DOF goniometer; OA; clinical evaluations; elliptical trainer development; functional weight-bearing stepping; impulsive force delivery mitigation; kinematic variables; knee osteoarthritis; motion analysis laboratories; real-time EKAM biofeedback; real-time EKAM estimation method; real-time external knee adduction moment feedback; Dynamics; Estimation; Foot; Goniometers; Kinematics; Knee; Real-time systems; Center of Pressure; Knee Adduction Moment; Knee Osteoarthritis; Real-time Biofeedback;
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6022-7
DOI :
10.1109/ICORR.2013.6650411