• 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