Application of Fuzzy ARTMAP Neural Networks for Epileptic spike detection Using Wavelet Feature Extraction
Fatemeh Safari, Ali Farrokhi, Nemat Talebi · Signal Processing and Renewable Energy · 2010
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 subbands 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.