Prediction of epileptic seizures using multi-layer delay-type discrete time cellular nonlinear networks (DTCNN): long-term studies

Christian Niederhofer; Ronald Tetzlaff

doi:10.1117/12.608629

29 June 2005 Prediction of epileptic seizures using multi-layer delay-type discrete time cellular nonlinear networks (DTCNN): long-term studies

Christian Niederhofer, Ronald Tetzlaff

Author Affiliations +

Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.608629
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain

Abstract

In previous publications it has been shown that the prediction algorithm for multi-layer delay-type DTCNN may be used for the analysis of EEG-signals in order to find precursors of impending epileptic seizures. It has been stated that the application of time efficient training algorithms together with the consideration of symmetric templates lead to a significant decrease of the calculation complexity, allowing the analysis of long-term recordings of EEG-signals. In this contribution EEG-data, covering a total time of 6 days, were studied, applying the BFGS (Broiden-Fletcher-Goldfarb-Shanno) training method. To accomplish a very effective procedure, several symmetries have been tested and template structures leading to higher processing speed and optimal results have been implemented for the long-term studies. Distinct changes occuring before the onsets of impending seizures in the used data set were observed for different prediction parameters.

Citation Download Citation

Christian Niederhofer and Ronald Tetzlaff "Prediction of epileptic seizures using multi-layer delay-type discrete time cellular nonlinear networks (DTCNN): long-term studies", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.608629

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available