Pattern detection by CNN in epilepsy: recent results

Christian Niederhofer; Philipp Fischer; Ronald Tetzlaff

doi:10.1117/12.499916

18 April 2003 Pattern detection by CNN in epilepsy: recent results

Christian Niederhofer, Philipp Fischer, Ronald Tetzlaff

Proceedings Volume 5119, Bioengineered and Bioinspired Systems; (2003) https://doi.org/10.1117/12.499916
Event: Microtechnologies for the New Millennium 2003, 2003, Maspalomas, Gran Canaria, Canary Islands, Spain

Abstract

0.5% of the world population is suffering from a focal epilepsy. Several actual investigations showed that methods in nonlinear signal processing are important for the derivation of new feature extraction methods to enable the realisation of a portable epilepsy warning system. In this contribution we will present recent results for the pattern detection algorithm which we have proposed in previous investigations. In order to verify our first results we will present results of long time measurements. Furthermore the pattern detection algorithm has been transformed in order to run on the first realization of a possible warning device, which had been presented by Laiho et. al. A detail discussion of the results will be given in the paper.

Citation Download Citation

Christian Niederhofer, Philipp Fischer, and Ronald Tetzlaff "Pattern detection by CNN in epilepsy: recent results", Proc. SPIE 5119, Bioengineered and Bioinspired Systems, (18 April 2003); https://doi.org/10.1117/12.499916

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