Document Detail


Myoelectric control of a computer animated hand: a new concept based on the combined use of a tree-structured artificial neural network and a data glove.
MedLine Citation:
PMID:  16393847     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper proposes a new learning set-up in the field of control systems for multifunctional hand prostheses. Two male subjects with a traumatic one-hand amputation performed simultaneous symmetric movements with the healthy and the phantom hand. A data glove on the healthy hand was used as a reference to train the system to perform natural movements. Instead of a physical prosthesis with limited degrees of freedom, a virtual (computer-animated) hand was used as the target tool. Both subjects successfully performed seven different motoric actions with the fingers and wrist. To reduce the training time for the system, a tree-structured, self-organizing, artificial neural network was designed. The training time never exceeded 30 seconds for any of the configurations used, which is three to four times faster than most currently used artificial neural network (ANN) architectures.
Authors:
F Sebelius; L Eriksson; C Balkenius; T Laurell
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of medical engineering & technology     Volume:  30     ISSN:  0309-1902     ISO Abbreviation:  J Med Eng Technol     Publication Date:    2006 Jan-Feb
Date Detail:
Created Date:  2006-01-05     Completed Date:  2006-05-18     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7702125     Medline TA:  J Med Eng Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  2-10     Citation Subset:  IM    
Affiliation:
Department of Electrical Measurements, Lund Institute of Technology, PO Box 118, SE-221 00, Lund, Sweden. fredrik.sebelius@elmat.lth.se
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MeSH Terms
Descriptor/Qualifier:
Amputees / rehabilitation*
Clothing
Computer Graphics
Computer Peripherals*
Computer-Assisted Instruction / methods
Decision Support Techniques
Electromyography / methods*
Feedback
Hand / innervation*,  physiopathology*
Humans
Movement
Neural Networks (Computer)
Prosthesis Fitting / methods
Therapy, Computer-Assisted / methods*
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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