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
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