Radu Matei, Daniela Matei, "Study of EEG with Epileptic Activity Using Spectral Analysis and Wavelet Transform," WSEAS Transactions on Signal Processing, vol. 13, pp. 241-247, 2017, DOI:
Radu Matei, Daniela Matei. Study of EEG with Epileptic Activity Using Spectral Analysis and Wavelet Transform.
WSEAS Transactions on Signal Processing. 2017;13:241-247.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 13, 2017
Study of EEG with Epileptic Activity Using Spectral Analysis and Wavelet Transform
Authors: ,
Abstract: In this paper we apply some signal processing methods to detect and classify specific patterns present in EEG signal, which give information about the inset of brain disorders, in particular epileptic activity. We analyze EEG signals using spectral analysis methods, namely Short-Time Fourier Transform and Discrete Wavelet Transform, applied to several sets of EEG recordings. The spectrograms and wavelet decompositions and spectra are shown for a few EEG sequences with typical pathological patterns, to prove the possibility of classification based on EEG spectrum.
Pages: 241-247 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 13, 2017, Art. #27 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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