Wavelet Analysis of EEG Signals in Epilepsy Patients

Abstract

The paper presents studies of electroencephalogram (EEG) signals of epilepsy patients based on wavelet transform and calculation of the total signal energy. The object of the study was a patient aged 17–22 years diagnosed with focal (structural) epilepsy, mesial sclerosis on the left and focal cortical dysplasia of the left temporal lobe, and a control group. The results were compared in the form of 3D Morle wavelets and topographic images. Topographic images of the head surface are obtained on the basis of the integral energy of brain signals. The study showed that wavelet analysis of EEG signals can be a useful tool in the study of EEG signals both in epilepsy patients and in comparison with the control group. It is assumed that such analysis will be useful for early detection of neurological changes and decision-making by doctors for further treatment.