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

Research output: Contribution to journalConference articleContributedpeer-review

Contributors

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

Original languageEnglish
Pages (from-to)V-720-V-723
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume5
Publication statusPublished - 2004
Peer-reviewedYes

Conference

Title2004 IEEE International Symposium on Cirquits and Systems - Proceedings
Duration23 - 26 May 2004
CityVancouver, BC
CountryCanada

External IDs

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

Keywords

ASJC Scopus subject areas