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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
5
|
| pubmed:dateCreated |
1980-2-15
|
| pubmed:abstractText |
A microprocessor-based system for the detection and quantification of sharp EEG waveforms is described. The hierarchical approach utilises initial transient detection based on computation of a second-derivative measure of curvature, followed by pattern-recognition and artifact-rejection routines based on consideration of specific waveform parameters. Initials results demonstrate an ability to approximate human-analysis results, while providing precise measures of amplitude, duration, and sharpness. The decreasing cost of microprocessors makes multichannel configurations economically feasible.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Sep
|
| pubmed:issn |
0020-7101
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
10
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
357-73
|
| pubmed:dateRevised |
2007-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:511378-Analog-Digital Conversion,
pubmed-meshheading:511378-Computers,
pubmed-meshheading:511378-Double-Blind Method,
pubmed-meshheading:511378-Electroencephalography,
pubmed-meshheading:511378-Evaluation Studies as Topic,
pubmed-meshheading:511378-Humans,
pubmed-meshheading:511378-Microcomputers,
pubmed-meshheading:511378-Pattern Recognition, Automated
|
| pubmed:year |
1979
|
| pubmed:articleTitle |
Microprocessor-based EEG spike detection and quantification.
|
| pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
|