Characteristics of local min-max amplitude of wavelet subbands of scalp epileptic EEG

An epileptic EEG exhibits various temporal characteristics corresponding to different states of the brain. In this paper, the temporal characteristics of wavelet subbands of scalp epileptic EEG associated with different states of the brain is examined based on an average amplitude of local minima and maxima, referred to as the average local min-max amplitude. The computational results show there are significant differences in the average local min-max amplitudes of the epileptic EEG during the epileptic seizure event compared to the other brain states in all wavelet subbands. The average local min-max amplitude remarkably increases during the epileptic seizure in all wavelet subbands. This therefore suggest that the average local min-max amplitude may be used as a useful feature for epileptic seizure detection.