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

الموضوعات :

فاطمه صفری ¹ , علی فرخی ² , نعمت طالبی ³

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تاريخ الإرسال : 02 السبت , شوال, 1431 تاريخ التأكيد : 06 الإثنين , صفر, 1432 تاريخ الإصدار : 15 الإثنين , ربيع الأول, 1431

الکلمات المفتاحية: EEG, Fuzzy ARTMAP, ANN, Wavelet,

ملخص المقالة :

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.