• DocumentCode
    2640276
  • Title

    Hybrid CPM/CAM Physiotherapy by Use of the Slide-Mode Fuzzy Neural Network Control

  • Author

    Ho, Hong-Jung ; Chen, Tien-Chi

  • Author_Institution
    Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    510
  • Lastpage
    510
  • Abstract
    Continuous passive motion (CPM) and controllable active motion (CAM) physiotherapy devices are commonly used to promote rehabilitation of damaged joints. A device involving the use of a CPM and CAM combination but without the CAM-type resistance components is presented. While in the CPM mode, the electric motor functions traditionally, but in the CAM mode, the motor exerts an opposing force against the patient´s activity, creating the effect of a spring performance. Such motor force is stimulated by the slidingmode adaptive fuzzy neural network controller. For convenient use, the system connects to the Internet or the training data can be accessed by automatic monitoring of research stations, home patients or telemedicine applications.
  • Keywords
    biomechanics; fuzzy neural nets; medical control systems; neurocontrollers; patient monitoring; patient rehabilitation; variable structure systems; Internet; automatic monitoring; continuous passive motion; controllable active motion physiotherapy devices; damaged joint rehabilitation; electric motor; home patients; hybrid CPM/CAM physiotherapy; motor force; slide-mode fuzzy neural network control; sliding mode adaptive fuzzy neural network controller; telemedicine applications; Adaptive systems; CADCAM; Computer aided manufacturing; Electric motors; Electric resistance; Fuzzy control; Fuzzy neural networks; Motion control; Programmable control; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.308
  • Filename
    4603699