• DocumentCode
    141775
  • Title

    Research on Identification Modeling for Rehabilitation Training Control System for Stroke Patients´ Lower Limbs Based on Support Vector Machine

  • Author

    Liye Ren ; Lifeng Ren ; Yajuan Song ; Ping Feng

  • Author_Institution
    Dept. of Electron. Inf. Eng., Changchun Univ., Changchun, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    516
  • Lastpage
    519
  • Abstract
    System identification modeling is an essential precondition and foundation for the analysis, design and intelligent control of control system. Theory and method of identification modeling for rehabilitation training system for stroke patients´ lower limbs based on support vector regression are mainly researched in this paper. In addition, simulated test is carried out to verify such method, based on which it can be said that such method is superior to other conventional methods in the aspect of accuracy and relevance.
  • Keywords
    medical control systems; patient rehabilitation; regression analysis; support vector machines; rehabilitation training control system; stroke patient lower limbs; support vector machine; support vector regression; system identification modeling; Control systems; Educational institutions; Electrodes; Kernel; Mathematical model; Support vector machines; Training; Algorithm; Support Vector Machine; System Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5078-2
  • Type

    conf

  • DOI
    10.1109/DASC.2014.99
  • Filename
    6945744