Paper Info
Title
Experimental Study Of Robot-Assisted Exercise Training For Knee Rehabilitation Based On A Practical Emg-Driven Model
Abstract
This paper proposes two robot-assisted exercise training methods for knee rehabilitation based on a practical EMG-driven model, aiming to beneficially exploit the patient's ability through neurorehabilitation process. The EMG-driven model is a simplified representation of the musculoskeletal system, with acceptable accuracies to predict the muscle forces and active torque of knee joint. Thus the patient's voluntary contribution can be introduced to the control loop through admittance controller. Preliminary experiments verify that the model prediction performance is able to reflect the subjects' motion intention in real-time and assist the subjects to perform exercise training with a lower limb rehabilitation robot. The information recorded during exercise training could be useful to understand the process of recovery and make quantitative evaluations to the patient's motor abilities.
Year
Venue
Field
2016
2016 6TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB)
Rehabilitation,Control theory,Torque,Simulation,Electromyography,Knee Joint,Neurorehabilitation,Control system,Engineering,Physical medicine and rehabilitation,Robot
DocType
ISSN
Citations 
Conference
2155-1782
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Long Peng1154.30
Zeng-Guang Hou22293167.18
Liang Peng32612.81
Weiqun Wang42512.73