Prediction of brain electrical activity in epilepsy using a higher-dimensional prediction algorithm for discrete time cellular neural networks (DTCNN)

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung

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

OriginalspracheEnglisch
Seiten (von - bis)V-720-V-723
FachzeitschriftProceedings - IEEE International Symposium on Circuits and Systems
Jahrgang5
PublikationsstatusVeröffentlicht - 2004
Peer-Review-StatusJa

Konferenz

Titel2004 IEEE International Symposium on Cirquits and Systems - Proceedings
Dauer23 - 26 Mai 2004
StadtVancouver, BC
LandKanada

Externe IDs

ORCID /0000-0001-7436-0103/work/173513964

Schlagworte

ASJC Scopus Sachgebiete