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
Link To Document :
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