DocumentCode
3422021
Title
Fourier and wavelet analyses of normal and epileptic electroencephalogram (EEG)
Author
Yamaguchi, Chiri
Author_Institution
Dept. of Eng., Fukui Univ. of Technol., Japan
fYear
2003
fDate
20-22 March 2003
Firstpage
406
Lastpage
409
Abstract
Human normal and epileptic electroencephalogram (EEG) signals have been analyzed using Fourier transform (FT) and continuous wavelet transform (CWT) as well as discrete wavelet transform (DWT). The power spectrum densities of both normal and epileptic EEG showed 1/ fa fluctuations as a function of frequency f. The alpha rhythms that appeared in the normal EEG were not observed in the epileptic EEG. FT could not reveal the localized spikes and complexes that are typical among epileptic seizures. On the contrary, both CWT and DWT analyses could clearly detect localized low-frequency epileptic components in the EEG records. Our final goal of the study is the automatic detection of the epileptic disorders in the EEG in order to support the diagnosis and care of the epileptic syndromes and related seizure disorders.
Keywords
Fourier transforms; electroencephalography; medical signal processing; wavelet transforms; CWT; DWT; Fourier transform; alpha rhythms; continuous wavelet transform; discrete wavelet transform; epileptic EEG; epileptic seizures; human epileptic electroencephalogram signals; human normal electroencephalogram signals; localized low-frequency epileptic components; localized spikes; normal EEG; power spectrum densities; Continuous wavelet transforms; Discrete Fourier transforms; Discrete wavelet transforms; Electroencephalography; Epilepsy; Fluctuations; Fourier transforms; Humans; Signal analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN
0-7803-7579-3
Type
conf
DOI
10.1109/CNE.2003.1196847
Filename
1196847
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