  EEG monitoring has an important milestone provide valuable information of
those candidates who suffer from epilepsy.In this paper human normal and
epileptic Electroencephalogram signals are analyzed with popular and efficient
signal processing techniques like Fourier and Wavelet transform. The delta,
theta, alpha, beta and gamma sub bands of EEG are obtained and studied for
detection of seizure and epilepsy. The extracted feature is then applied to ANN
for classification of the EEG signals.
