Application of Fuzzy ARTMAP Neural Networks for Epileptic spike detection Using Wavelet Feature Extraction

Subject Areas : Communication

فاطمه  صفری ¹ ()
علی  فرخی ² ()
نعمت  طالبی ³ ()

Received: 2010-09-11 Accepted : 2011-01-10 Published : 2010-03-01

Keywords: EEG, Fuzzy ARTMAP, ANN, Wavelet,

Abstract :

This paper aims to introduce two different classifier systems based on fuzzy ARTMAP neural network for the automatic detection of epileptic spikes in 19-channel human electroencephalogram these algorithm (EEG) are fast and delivers satisfactory results. EEG signals are decomposed into 4 sub-bands by means of Discrete Wavelet Transform (DWT). The inputs of the networks consist of two different features, which are extracted from the sub-bands 3 and 4. The performances of the classifiers introduced in this paper, are compared with each other’s and other similar systems, according to the sensitivity, specificity and selectivity values.