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Automatic Recognition of Epilepsy from EEG using Artificial Neural Network and Discrete Wavelet Transform

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3 Author(s)
Toprak, B. ; Akdeniz Univ., Antalya ; Caglar, M.F. ; Merdan, M.

In this study, it was aimed that making epilepsy diagnosis by automatically evaluation of EEG records. Diagnosis system consists two steps which are feature extraction/selection and classification. Discrete wavelet transform (DWT) and artificial neural networks (ANN) were used to determine attribute vectors and classification, respectively. Classification accuracy was achieved as 99.62% by examining effects of varied wavelets on multi layer perceptron (MLP) networks which have different architecture and were trained different learning algorithms.

Published in:

Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th

Date of Conference:

11-13 June 2007