• DocumentCode
    1451292
  • Title

    Iterative Learning Control in Health Care: Electrical Stimulation and Robotic-Assisted Upper-Limb Stroke Rehabilitation

  • Author

    Freeman, Chris T. ; Rogers, Eric ; Hughes, Ann-Marie ; Burridge, Jane H. ; Meadmore, Katie L.

  • Author_Institution
    School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K.
  • Volume
    32
  • Issue
    1
  • fYear
    2012
  • Firstpage
    18
  • Lastpage
    43
  • Abstract
    Annually, 15 million people worldwide suffer a stroke, and 5 million are left permanently disabled. A stroke is usually caused when a blood clot blocks a vessel in the brain and acts like a dam, stopping the blood reaching the regions downstream. Alternatively, it may be caused by a hemorrhage, in which a vessel ruptures and leaks blood into surrounding areas. As a result, some of the connecting nerve cells die, and the person commonly suffers partial paralysis on one side of the body, termed hemiplegia. Cells killed in this way cannot regrow, but the brain has some spare capacity and, hence, new connections can be made. The brain is continually and rapidly changing as new skills are learned, new connections are formed, and redundant ones disappear. A person who relearns skills after a stroke goes through the same process as someone learning to play tennis or a baby learning to walk, requiring sensory feedback during the repeated practice of a task. Unfortunately, the problem is that they can hardly move and, therefore, do not receive feedback on their performance.
  • Keywords
    Iterative methods; Learning systems; Medical control systems; Medical services;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2011.2173261
  • Filename
    6153633