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
Link To Document :
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