Source:http://linkedlifedata.com/resource/pubmed/id/19163007
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2009-2-16
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pubmed:abstractText |
It has been shown that Brain-Computer Interfaces (BCIs) involving closed-loop control of an external device, while receiving visual feedback, allows subjects to adaptively correct errors and improve the accuracy of control. Although closed-loop cortical control of gross arm movements has been demonstrated, closed-loop decoding of more dexterous movements such as individual fingers has not been shown. Neural recordings were obtained from rhesus monkeys in three different experiments involving individuated flexion/extension of each finger, wrist rotation, and dexterous grasps. Separate decoding filters were implemented in Matlab's Simulink environment to independently decode this suite of dexterous movements in real-time. Average real-time decoding accuracies of 80% was achieved for all dexterous tasks with as few as 15 neurons for individual finger flexion/extension, 41 neurons for wrist rotation, and 79 neurons for grasps. In lieu of the availability of advanced multi-fingered prosthetic hands, real-time visual feedback of the decoded output was provided through actuation of a virtual prosthetic hand in a Virtual Integration Environment. This work lays the foundation for future closed-loop experiments with monkeys in the loop and dexterous control of an actual prosthetic limb.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1557-170X
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
2008
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1703-6
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pubmed:dateRevised |
2009-11-19
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pubmed:meshHeading |
pubmed-meshheading:19163007-Algorithms,
pubmed-meshheading:19163007-Animals,
pubmed-meshheading:19163007-Biofeedback, Psychology,
pubmed-meshheading:19163007-Biomedical Engineering,
pubmed-meshheading:19163007-Brain,
pubmed-meshheading:19163007-Databases, Factual,
pubmed-meshheading:19163007-Hand,
pubmed-meshheading:19163007-Macaca mulatta,
pubmed-meshheading:19163007-Male,
pubmed-meshheading:19163007-Movement,
pubmed-meshheading:19163007-Neural Networks (Computer),
pubmed-meshheading:19163007-Software,
pubmed-meshheading:19163007-User-Computer Interface
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pubmed:year |
2008
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pubmed:articleTitle |
Towards closed-loop decoding of dexterous hand movements using a virtual integration environment.
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pubmed:affiliation |
Department of Biomedical Engineering at The Johns Hopkins University, Baltimore, MD, USA. vaggarwal@jhu.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
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