Diagnosis of Epilepsy from EEG Signals Using Global Wavelet Power Spectrum

Abstract

Epilepsy diagnosis using EEG signals represents important segment in general clinical practice. However, EEG signal features such as amplitude, are not helpful in order to visually distinguish between healthy and epileptic patients; and therefore additional signal processing and results analysis is needed. In this paper, the analyses and the results of the properties of EEG signals of healthy subjects and patients with an epileptic syndrome without seizure, using global wavelet power spectrum (GWS) are presented. The results of the analysis of the 200 EEG signals confirm that this approach can enable a simple recognition of epileptic EEG signals in a standard clinical practice. The results indicate that the magnitudes of the EEG signal components for the patients with an epileptic syndrome are considerably different to the EEG signal components of the healthy subjects. Also, the GWS dominant values for selected signals of patients with an epileptic syndrome are found in the delta and theta frequency bands.