Hybrid Model for Classification and Detection of Neurological Disorders

Abstract: The hybrid model designed in this paper is used to detect the neurological disorders like focal epilepsy brain death and various other EEG signals. In order to detect such signals the hybrid model consists of three major modules. The modules designed are for feature extraction of the signals, training and testing of the signals using ANN and the fuzzy logic model. Burg algorithm is used for feature extraction, BPNN is used for training and testing of the signals and sugeno fuzzy model is used for giving more pr�cised results.

Keywords: EEG signals, Burg algorithm, BPNN, Sugeno fuzzy model.