THE MULTIRESOLUTION WAVELET ANALYSIS OF THE BRAIN SIGNALS OF EPILEPSY PATIENTS

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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