• DocumentCode
    177014
  • Title

    Design of upper extremity motor function mirror rehabilitation system for post-stroke patients based on FES

  • Author

    Zhao Xingang ; An Lipeng ; Ye Dan

  • Author_Institution
    Shenyang Inst. of Autom., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4606
  • Lastpage
    4611
  • Abstract
    An upper extremity motor function mirror rehabilitation method based on Functional Electrical Stimulation (FES) was proposed to provide subject-oriented rehabilitation training for hemiplegic patients with upper limb motor dysfunction. Firstly, recognize the motion pattern of the healthy side by Microsoft Kinect. The motion pattern consists of three kind of mode, i.e. slow speed mode, medium speed mode, fast speed mode. Secondly, the paralyzed upper joints were controlled to track the pattern of the healthy side by stimulating appropriate muscles. The stimulating intensity, i.e. the width of the current pulse, is controlled with iterative learning control method. Experiments on healthy subject indicated that this rehabilitation system could help post-stroke patients conduct customized subject-oriented training effectively.
  • Keywords
    bioelectric potentials; biomechanics; diseases; iterative methods; learning (artificial intelligence); medical control systems; neuromuscular stimulation; patient rehabilitation; pattern recognition; Microsoft Kinect; current pulse width; functional electrical stimulation; hemiplegic patients; iterative learning control method; motion pattern recognition; post-stroke patients; subject-oriented rehabilitation training; upper extremity motor function mirror rehabilitation system; upper joint paralysis; upper limb motor dysfunction; Elbow; Joints; Mirrors; Muscles; Neuromuscular stimulation; Training; Trajectory; FES; ILC; Kinect; Mirror Rehabilitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852995
  • Filename
    6852995