Prediction of brain electrical activity in epilepsy using a higher-dimensional prediction algorithm for discrete time cellular neural networks (DTCNN)
Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Several investigations have shown, that a higher-dimensional nonlinear signal analysis can contribute to the problem of detecting precursors for impending epileptic seizures in electroencephalographic recordings. In previous work we analyzed brain electrical activity using Volterra-Systems and CNN. The outline of this paper is to propose a new higher-dimensional DTCNN prediction algorithm. First results will be given for a long term recording of brain electrical activity.
Details
| Originalsprache | Englisch |
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| Seiten (von - bis) | V-720-V-723 |
| Fachzeitschrift | Proceedings - IEEE International Symposium on Circuits and Systems |
| Jahrgang | 5 |
| Publikationsstatus | Veröffentlicht - 2004 |
| Peer-Review-Status | Ja |
| Extern publiziert | Ja |
Konferenz
| Titel | IEEE International Symposium on Circuits and Systems 2004 |
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| Kurztitel | ISCAS 2004 |
| Dauer | 23 - 26 Mai 2004 |
| Ort | Sheraton Vancouver Wall Centre Hotel |
| Stadt | Vancouver |
| Land | Kanada |
Externe IDs
| ORCID | /0000-0001-7436-0103/work/173513964 |
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