• DocumentCode
    620125
  • Title

    Model of rehabilitation training program for stroke by fuzzy reasoning

  • Author

    Jianhui Wang ; Wen Ji ; Xiaoke Fang ; Shusheng Gu ; Jilin Chen

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    2470
  • Lastpage
    2474
  • Abstract
    At present, using the rehabilitant robot can achieve the stroke rehabilitation training for patients, which is high intensity, targeted and repetitive rehabilitation training. It needs sound rehabilitation training program to guide the training. Due to different patients have different condition, and the same patient´s condition changes as time change, however, there are some uncertainties of patients in the process of drawing up a rehabilitation training program, At the same time, the process of drawing up the program needs long time, and requires lots of manpower and material resources. In view of these issues, the model of rehabilitation training program for stroke was proposed, combing with the fuzzy reasoning (FR). Experimental results show that the model can make a rehabilitation training program and improve rehabilitation efficiency effectively.
  • Keywords
    control engineering computing; fuzzy reasoning; fuzzy set theory; medical disorders; medical robotics; patient rehabilitation; fuzzy reasoning; patient condition; patients; rehabilitant robot; rehabilitation efficiency; sound rehabilitation training program; stroke rehabilitation training; Diseases; Firing; Fuzzy reasoning; Robots; Training; Uncertainty; Fuzzy Reasoning (FR); Rehabilitation Training; Rehabilitation Training Program; Stroke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561354
  • Filename
    6561354