• DocumentCode
    425077
  • Title

    Rehabilitation robotics: adapting robot behavior to suit patient needs and abilities

  • Author

    Buerger, Stephen P. ; Palazzolo, Jerome J. ; Krebs, Hermano I. ; Hogan, Neville

  • Author_Institution
    Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    June 30 2004-July 2 2004
  • Firstpage
    3239
  • Abstract
    Robotics offers one solution to the rising problem of rehabilitating victims of neurological injury and disease. Rehabilitation robots have proven successful in speeding recovery for recent stroke victims, and in reducing impairment and pain for chronic victims who were thought to have little opportunity for improvement. Such robots require high force capability with a closely controlled "feel", requiring low endpoint impedance. For complex robot configurations, a combination of backdrivable hardware design and impedance-reducing controller design may offer the best solution. A novel therapy algorithm that exploits similarities between motor recovery and motor learning adapts robot impedance to patients as they recover. Results of therapy using this algorithm are a substantial improvement over the original robot therapy.
  • Keywords
    adaptive systems; control system synthesis; medical robotics; patient rehabilitation; adapting robot behaviour; backdrivable hardware design; impedance reducing controller design; neurological diseases; neurological injury; patient recovery; patient rehabilitation; rehabilitation robotics; robot endpoint impedance; robot therapy; therapy algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2004. Proceedings of the 2004
  • Conference_Location
    Boston, MA, USA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-8335-4
  • Type

    conf

  • Filename
    1384409