Wavelet Analysis of EEG Signals in Epilepsy Patients
- DOI
- 10.2991/ahcs.k.191206.015How to use a DOI?
- Keywords
- EEG signal, epilepsy, peak wave, sharp wave, wavelet analysis, total energy, visualization, nonlinear dynamics, decision-making
- 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.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tatyana V. Yakovleva AU - Ilya E. Kutepov AU - Anton V. Krysko AU - Nikolay P. Erofeev AU - Tatyana Yu. Yaroshenko AU - Olga A. Saltykova AU - Anastasiya V. Kirichenko AU - Maxim V. Zhigalov AU - Irina V. Papkova AU - Vadim A. Krysko AU - Nikolay M. Yakovlev AU - Antonina Yu. Karas PY - 2019 DA - 2019/12/12 TI - Wavelet Analysis of EEG Signals in Epilepsy Patients BT - Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019) PB - Atlantis Press SP - 83 EP - 88 SN - 2589-4900 UR - https://doi.org/10.2991/ahcs.k.191206.015 DO - 10.2991/ahcs.k.191206.015 ID - Yakovleva2019 ER -