DocumentCode
177014
Title
Design of upper extremity motor function mirror rehabilitation system for post-stroke patients based on FES
Author
Zhao Xingang ; An Lipeng ; Ye Dan
Author_Institution
Shenyang Inst. of Autom., Shenyang, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
4606
Lastpage
4611
Abstract
An upper extremity motor function mirror rehabilitation method based on Functional Electrical Stimulation (FES) was proposed to provide subject-oriented rehabilitation training for hemiplegic patients with upper limb motor dysfunction. Firstly, recognize the motion pattern of the healthy side by Microsoft Kinect. The motion pattern consists of three kind of mode, i.e. slow speed mode, medium speed mode, fast speed mode. Secondly, the paralyzed upper joints were controlled to track the pattern of the healthy side by stimulating appropriate muscles. The stimulating intensity, i.e. the width of the current pulse, is controlled with iterative learning control method. Experiments on healthy subject indicated that this rehabilitation system could help post-stroke patients conduct customized subject-oriented training effectively.
Keywords
bioelectric potentials; biomechanics; diseases; iterative methods; learning (artificial intelligence); medical control systems; neuromuscular stimulation; patient rehabilitation; pattern recognition; Microsoft Kinect; current pulse width; functional electrical stimulation; hemiplegic patients; iterative learning control method; motion pattern recognition; post-stroke patients; subject-oriented rehabilitation training; upper extremity motor function mirror rehabilitation system; upper joint paralysis; upper limb motor dysfunction; Elbow; Joints; Mirrors; Muscles; Neuromuscular stimulation; Training; Trajectory; FES; ILC; Kinect; Mirror Rehabilitation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852995
Filename
6852995
Link To Document