title: Cellular neural networks (CNN) with linear weight functions for a prediction of epileptic seizures.
abstract: In this paper, we present a novel approach to the prediction of epileptic seizures using boolean CNN with linear weight functions. Three different binary pattern occurrence behaviours will be discussed and analysed for several invasive recordings of brain electrical activity. Furthermore analogic binary pattern detection algorithms will be introduced for a possible prediction of epileptic seizures.
authors.affiliation: Johann Wolfgang Goethe University, Institute of Applied Physics, Robert-Mayer Strasse 2-4, D-60325, Frankfurt, Germany. R.Tetzlaff@iap.uni-frankfurt.de
authors.forename: R
authors.initials: R
authors.lastname: Tetzlaff
authors.forename: R
authors.initials: R
authors.lastname: Kunz
authors.forename: C
authors.initials: C
authors.lastname: Niederhöfer
mesh_terms: D004827:Epilepsy / Q000503:physiopathology; D016014:Linear Models; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests