THE MULTIRESOLUTION WAVELET ANALYSIS OF THE BRAIN SIGNALS OF EPILEPSY PATIENTS

Year 2018, Volume: 3 Issue: 2, 30 - 33, 31.12.2018

M. Furkan Ilaslan

Abstract

 Wavelet
transform is a new topic in signal processing. Its development and application
remains an active and important area of research. In addition, the brain is the
most vital organ of human. Trying to understand the brain means that trying to
understand oneself. Thus, humans have tried to analyse and obtained some
information about brain. However, its diseases are very hard to detect. This
paper presents a tutorial introduction of the multiresolution wavelet analysis
theory, implementation and interpretation of the wavelet transform about
epilepsy disease. The paper concentrates on the application of the
multiresolution wavelet transform to taking data from volunteers’
electroencephalography (EEG) data. The method of Multiresolution wavelet
analysis (MRWA) serves as a link between the discrete and continuous theory.
Because of that, in that paper, that EEG data will be examined by using
Multiresolution Wavelet analysis and it will be summarized how to defect the
disease by using signal processing.

Keywords

Wavelet, Multiresolution Wavelet Analysis, EEG, Epilepsy

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