In this paper the bioelectrical activity of a human brain in epilepsy will be analyzed using a Cellular Neural Network - Universal Machine (CNN-UM) proposed by Roska. Therefore a feature extraction method based on binary input-output patterns and boolean CNN with linear weight functions called pattern detection algorithm is used. First results of a hardware application with a CNN-UM realized as a mixed-mode array processor will be presented.