DocumentCode
2681536
Title
A novel motor function training assisted system for upper limbs rehabilitation
Author
Guo, Shuxiang ; Song, Zhibin
Author_Institution
Dept. of Intell. Mech. Syst. Eng´´g, Kagawa Univ., Takamatsu, Japan
fYear
2009
fDate
10-15 Oct. 2009
Firstpage
1025
Lastpage
1030
Abstract
In this paper, we propose a novel task-oriented motor function training and assistance of upper limbs system after brain injured such as stroke based on Virtual-Reality. In this system, two kinds of training approaches are developed. One is tracking training with path-unlimited based on a mass-spring-damper force model, and the other is tracking training with path-limited based on a compound force model. Both of training approaches are same that coordination motion of two hands is needed. We want to re-examine how effective the haptic sensory and visual sensory are in training of upper limbs. Further, we enhance the effect of system through adding assistance in order to help mild stroke patients to recovery. This system is convenient and compact so that it is suitable for home-based rehabilitation.
Keywords
force control; learning (artificial intelligence); medical robotics; virtual reality; compound force model; haptic sensory; mass-spring-damper force model; mild stroke patient recovery; motor function training; tracking training; upper limbs assistance system; upper limbs rehabilitation; virtual reality; visual sensory; Costs; Force sensors; Intelligent robots; Medical treatment; Rehabilitation robotics; Robot kinematics; Spinal cord injury; Surgery; USA Councils; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location
St. Louis, MO
Print_ISBN
978-1-4244-3803-7
Electronic_ISBN
978-1-4244-3804-4
Type
conf
DOI
10.1109/IROS.2009.5354238
Filename
5354238
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