Source:http://linkedlifedata.com/resource/pubmed/id/11090763
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
12
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pubmed:dateCreated |
2000-12-19
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pubmed:abstractText |
EEG-based communication could be a valuable new augmentative communication technology for those with severe motor disabilities. Like all communication methods, it faces the problem of errors in transmission. In the Wadsworth EEG-based brain-computer interface (BCI) system, subjects learn to use mu or beta rhythm amplitude to move a cursor to targets on a computer screen. While cursor movement is highly accurate in trained subjects, it is not perfect.
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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:month |
Dec
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pubmed:issn |
1388-2457
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
111
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
2138-44
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pubmed:dateRevised |
2008-9-10
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pubmed:meshHeading |
pubmed-meshheading:11090763-Adult,
pubmed-meshheading:11090763-Brain,
pubmed-meshheading:11090763-Brain Mapping,
pubmed-meshheading:11090763-Electroencephalography,
pubmed-meshheading:11090763-Evoked Potentials,
pubmed-meshheading:11090763-Female,
pubmed-meshheading:11090763-Humans,
pubmed-meshheading:11090763-Male,
pubmed-meshheading:11090763-Middle Aged,
pubmed-meshheading:11090763-Research Design
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pubmed:year |
2000
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pubmed:articleTitle |
EEG-based communication: presence of an error potential.
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pubmed:affiliation |
Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Graz, Austria. schalk@wadsworth.org
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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