Source:http://linkedlifedata.com/resource/pubmed/id/12373671
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
5
|
| pubmed:dateCreated |
2002-10-9
|
| pubmed:abstractText |
EEG signals emerge from the collective behaviour of large neuronal aggregates and betrays the information processed by neocortex. This electrophysiological collective activity varies with the brain function. Thus, one can ask whether there exists any indication of that neuronal activity in the EEG record. In this work this question is considered in the particular case of sleep/awake EEG s. To this aim, the concept of lacunarity is proposed as a tool to analyse the texture of the EEG samples. From the resulting lacunarity profiles an index is defined which represents a characteristic time of each phase.
|
| pubmed:language |
spa
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
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| pubmed:issn |
0210-0010
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
35
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
415-9
|
| pubmed:dateRevised |
2009-5-28
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| pubmed:meshHeading | |
| pubmed:articleTitle |
[Characteristic times in sleep-waking electroencephalograms].
|
| pubmed:affiliation |
Casa de Salud, Servicio de Neurofisiología Clínica, Valencia, España.
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| pubmed:publicationType |
Journal Article,
English Abstract,
Research Support, Non-U.S. Gov't
|