• DocumentCode
    2229548
  • Title

    Robotic arm for unsupervised stroke rehabilitation: A pilot study using PID controller

  • Author

    Zhe Zhang ; Ferry, F. ; Qiang Fang ; Xudong Gu

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    12-16 March 2013
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    Stroke is one of the leading causes of disability in the world and Post-stroke rehabilitation trainings are considered to be essential on helping stroke patients to regain the functionality of their body. However, most of the rehabilitation trainings can only be performed under professional supervision inside hospital or caring facilities and as a result, large number of expenditure is generated. In recent years, substantial amount of researches on Robot assisted rehabilitation systems have been carried out to find an alternate to the expensive and labor intensive conventional method that is currently in use. This paper proposed a novel robot assisted rehabilitation training system which utilized multiple feedback and PID control method to drive an upper limb exoskeleton that can help stroke patient to perform both predefined exercises and voluntary movements. Preliminary experiment has been conducted using a SCORBOT-ERIII robotic arm which was controlled by a SIMULINK model in XPC target environment.
  • Keywords
    feedback; medical disorders; medical robotics; patient rehabilitation; three-term control; PID control method; PID controller; SCORBOT-ERIII robotic arm; SIMULINK model; XPC target environment; multiple feedback control method; post stroke rehabilitation training; predefined exercises; robot assisted rehabilitation systems; unsupervised stroke rehabilitation; upper limb exoskeleton; voluntary movements; Acceleration; DC motors; PD control; Robot sensing systems; Service robots; Training; PID control; exoskeleton; inertia measurement; rehabilitation; robot; stroke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Orange Technologies (ICOT), 2013 International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4673-5934-4
  • Type

    conf

  • DOI
    10.1109/ICOT.2013.6521147
  • Filename
    6521147