Source:http://linkedlifedata.com/resource/pubmed/id/11467912
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
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| pubmed:dateCreated |
2001-7-24
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| pubmed:abstractText |
Frequency-transformed EEG resting data has been widely used to describe normal and abnormal brain functional states as function of the spectral power in different frequency bands. This has yielded a series of clinically relevant findings. However, by transforming the EEG into the frequency domain, the initially excellent time resolution of time-domain EEG is lost. The topographic time-frequency decomposition is a novel computerized EEG analysis method that combines previously available techniques from time-domain spatial EEG analysis and time-frequency decomposition of single-channel time series. It yields a new, physiologically and statistically plausible topographic time-frequency representation of human multichannel EEG. The original EEG is accounted by the coefficients of a large set of user defined EEG like time-series, which are optimized for maximal spatial smoothness and minimal norm. These coefficients are then reduced to a small number of model scalp field configurations, which vary in intensity as a function of time and frequency. The result is thus a small number of EEG field configurations, each with a corresponding time-frequency (Wigner) plot. The method has several advantages: It does not assume that the data is composed of orthogonal elements, it does not assume stationarity, it produces topographical maps and it allows to include user-defined, specific EEG elements, such as spike and wave patterns. After a formal introduction of the method, several examples are given, which include artificial data and multichannel EEG during different physiological and pathological conditions.
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| 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 |
Aug
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| pubmed:issn |
1053-8119
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| pubmed:author | |
| pubmed:copyrightInfo |
Copyright 2001 Academic Press.
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| pubmed:issnType |
Print
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| pubmed:volume |
14
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
383-90
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| pubmed:dateRevised |
2004-11-17
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| pubmed:meshHeading |
pubmed-meshheading:11467912-Adult,
pubmed-meshheading:11467912-Alpha Rhythm,
pubmed-meshheading:11467912-Brain Mapping,
pubmed-meshheading:11467912-Cerebral Cortex,
pubmed-meshheading:11467912-Child,
pubmed-meshheading:11467912-Electroencephalography,
pubmed-meshheading:11467912-Epilepsy, Temporal Lobe,
pubmed-meshheading:11467912-Evoked Potentials,
pubmed-meshheading:11467912-Female,
pubmed-meshheading:11467912-Humans,
pubmed-meshheading:11467912-Male,
pubmed-meshheading:11467912-Mathematical Computing,
pubmed-meshheading:11467912-Reference Values,
pubmed-meshheading:11467912-Signal Processing, Computer-Assisted,
pubmed-meshheading:11467912-Sleep Stages
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| pubmed:year |
2001
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| pubmed:articleTitle |
Topographic time-frequency decomposition of the EEG.
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| pubmed:affiliation |
Cuban Neuroscience Center, La Habana, Cuba.
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| pubmed:publicationType |
Journal Article
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