Brain electrical activity in epilepsy: Characterization of the spatio-temporal dynamics with Cellular Neural Networks based on a correlation dimension analysis

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • R. Kunz - , Universitätsklinikum Frankfurt (Autor:in)
  • R. Tetzlaff - , Universitätsklinikum Frankfurt (Autor:in)
  • Dietrich Wolf - , Universitätsklinikum Frankfurt (Autor:in)

Abstract

In this paper we present a new approach for the analysis of the spatio-temporal dynamics of brain electrical activity in epilepsy with Cellular Neural Networks (CNN). We have shown in recent investigations that the dimension D*2 (k, m) of brain electrical activity can be approximated by a function of CNN cell outputs. These results obtained with CNN, having non steady-states, were sensitive to parameter deviations occurring in CNN hardware realizations. In this contribution we present an enhanced approximation method, which is based on a steady state determination showing an increased robustness and higher accuracy.

Details

OriginalspracheEnglisch
Titel2000 IEEE International Symposium on Circuits and Systems (ISCAS)
ErscheinungsortGeneva
Herausgeber (Verlag)IEEE Xplore
Seiten389-392
ISBN (Print)0-7803-5482-6
PublikationsstatusVeröffentlicht - 2000
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE International Symposium on Circuits and Systems (ISCAS)
ISSN0271-4302

Konferenz

TitelProceedings of the IEEE 2000 International Symposium on Circuits and Systems, ISCAS 2000
Dauer28 - 31 Mai 2000
StadtGeneva, Switz
LandSchweiz

Externe IDs

ORCID /0000-0001-7436-0103/work/142240387

Schlagworte