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 |
---|---|
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 |
Konferenz
Titel | 2004 IEEE International Symposium on Cirquits and Systems - Proceedings |
---|---|
Dauer | 23 - 26 Mai 2004 |
Stadt | Vancouver, BC |
Land | Kanada |
Externe IDs
ORCID | /0000-0001-7436-0103/work/173513964 |
---|