Dynamics of EEG-signals in epilepsy: Spatio temporal analysis by Cellular Nonlinear Networks
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Meanwhile, numerous publications address the feature extraction problem in epilepsy. Up to now a precursor detection based on changes of EEG-signal features could not be performed with a sufficient sensitivity and specifity for an automated seizure warning system. Different approaches including procedures using stochastic models, as well as algorithms based on Cellular Nonlinear Networks (CNN) and Volterra-Systems have been discussed throughout previous publications. Therin interesting findings have been discussed involving e.g. signal prediction algorithms and the calculation of synchronisation measures. In this contribution new results obtained in a spatio temporal linear prediction of segmented electrode signals using long-term SEEG and ECoG recordings of patients in epilepsy will be discussed in detail.
Details
Originalsprache | Englisch |
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Titel | European Conference on Circuit Theory and Design 2007, ECCTD 2007 |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 296-299 |
Seitenumfang | 4 |
ISBN (Print) | 1424413427, 9781424413423 |
Publikationsstatus | Veröffentlicht - 2007 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | European Conference on Circuit Theory and Design 2007, ECCTD 2007 |
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Konferenz
Titel | European Conference on Circuit Theory and Design 2007, ECCTD 2007 |
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Dauer | 26 - 30 August 2007 |
Stadt | Seville |
Land | Spanien |
Externe IDs
ORCID | /0000-0001-7436-0103/work/172566300 |
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