| Contribution of non-linear mathematics (chaos theory) to EEG analysis | |
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MedLine Citation:
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PMID: 9480407 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Since 1963, nonlinear dynamics or "chaos theory" were widely used in various area of physics. The first application to the analysis of the human electroencephalogram (EEG) was performed in 1985. A tutorial revue of some concepts of nonlinear dynamics is presented with the various results obtained since 1985. The dimensional complexity of the EEG (DC) seems a good descriptor of the "desynchronisation" or decorrelation of the EEG: DC is high with eyes open, during a mental task and also during a tonic epileptic discharge. DC is low with eyes closed, during slow wave sleep, and during a clonic epileptic discharge. The measure of DC could allow a more objective comparison between various states of electrical cerebral activity. |
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Authors:
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M Rey; P Guillemant |
Publication Detail:
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Type: English Abstract; Journal Article; Review |
Journal Detail:
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Title: Neurophysiologie clinique = Clinical neurophysiology Volume: 27 ISSN: 0987-7053 ISO Abbreviation: Neurophysiol Clin Publication Date: 1997 Nov |
Date Detail:
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Created Date: 1998-02-26 Completed Date: 1998-02-26 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8804532 Medline TA: Neurophysiol Clin Country: NETHERLANDS |
Other Details:
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Languages: fre Pagination: 406-28 Citation Subset: IM |
Affiliation:
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Service d'EFSN, CHU Timone, Marseille. |
Vernacular Title:
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Apport des mathématiques non-linéaires (théorie du chaos) à l'analyse de l'EEG. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Electroencephalography
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statistics & numerical data* Epilepsy / diagnosis, physiopathology Humans Nonlinear Dynamics* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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