Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms

In this paper we compare two methods, based on the Gabor and wavelet transforms, to quantify and visualize the time evolution of frequency contents of electroencephalogram (EEG) time series. We found an optimal correlation between EEG visual inspection and the proposed methods in the characterizatio...

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Autores principales: Blanco, Susana Alicia Ana, D'Attellis, Carlos Enrique
Publicado: 1996
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1063651X_v54_n6_p6661_Blanco
http://hdl.handle.net/20.500.12110/paper_1063651X_v54_n6_p6661_Blanco
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spelling paper:paper_1063651X_v54_n6_p6661_Blanco2023-06-08T16:03:38Z Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms Blanco, Susana Alicia Ana D'Attellis, Carlos Enrique In this paper we compare two methods, based on the Gabor and wavelet transforms, to quantify and visualize the time evolution of frequency contents of electroencephalogram (EEG) time series. We found an optimal correlation between EEG visual inspection and the proposed methods in the characterization of the frequency and energy content of characteristic activity during an epileptic seizure. The quasimonofrequency behavior observed in the epileptic EEG series, in a previous work using a Gabor analysis [J. Inst. Electr. Eng. 93, 429 (1946)], is confirmed with the analysis using a wavelet. Moreover, the method based on the wavelet transform allows us to build a detector of epileptic events. Both methods are exemplified with EEG series obtained with depth electrodes in refractory epileptic patients. © 1996 The American Physical Society. Fil:Blanco, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:D'Attellis, C.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 1996 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1063651X_v54_n6_p6661_Blanco http://hdl.handle.net/20.500.12110/paper_1063651X_v54_n6_p6661_Blanco
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description In this paper we compare two methods, based on the Gabor and wavelet transforms, to quantify and visualize the time evolution of frequency contents of electroencephalogram (EEG) time series. We found an optimal correlation between EEG visual inspection and the proposed methods in the characterization of the frequency and energy content of characteristic activity during an epileptic seizure. The quasimonofrequency behavior observed in the epileptic EEG series, in a previous work using a Gabor analysis [J. Inst. Electr. Eng. 93, 429 (1946)], is confirmed with the analysis using a wavelet. Moreover, the method based on the wavelet transform allows us to build a detector of epileptic events. Both methods are exemplified with EEG series obtained with depth electrodes in refractory epileptic patients. © 1996 The American Physical Society.
author Blanco, Susana Alicia Ana
D'Attellis, Carlos Enrique
spellingShingle Blanco, Susana Alicia Ana
D'Attellis, Carlos Enrique
Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
author_facet Blanco, Susana Alicia Ana
D'Attellis, Carlos Enrique
author_sort Blanco, Susana Alicia Ana
title Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
title_short Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
title_full Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
title_fullStr Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
title_full_unstemmed Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
title_sort time-frequency analysis of electroencephalogram series. ii. gabor and wavelet transforms
publishDate 1996
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1063651X_v54_n6_p6661_Blanco
http://hdl.handle.net/20.500.12110/paper_1063651X_v54_n6_p6661_Blanco
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AT dattelliscarlosenrique timefrequencyanalysisofelectroencephalogramseriesiigaborandwavelettransforms
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