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Proceedings Paper

Pattern detection by CNN in epilepsy: recent results
Author(s): Christian Niederhofer; Philipp Fischer; Ronald Tetzlaff
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Paper 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.

Paper Details

Date Published: 18 April 2003
PDF: 8 pages
Proc. SPIE 5119, Bioengineered and Bioinspired Systems, (18 April 2003); doi: 10.1117/12.499916
Show Author Affiliations
Christian Niederhofer, Johann Wolfgang Goethe-Univ. Frankfurt am Main (Germany)
Philipp Fischer, Johann Wolfgang Goethe-Univ. Frankfurt am Main (Germany)
Ronald Tetzlaff, Johann Wolfgang Goethe-Univ. Frankfurt am Main (Germany)


Published in SPIE Proceedings Vol. 5119:
Bioengineered and Bioinspired Systems
Angel Rodriguez-Vazquez; Derek Abbott; Ricardo Carmona, Editor(s)

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