Time-frequency analysis of electroencephalogram series

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In this paper we propose a method, based on the Gabor transform, to quantify and visualize the time evolution of the traditional frequency bands defined in the analysis of electroencephalogram (EEG) series. The information obtained in this way can be used for the information transfer analyses of the...

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Detalles Bibliográficos
Autores principales: Blanco, S., Quiroga, R.Q., Rosso, O.A., Kochen, S.
Formato: Artículo publishedVersion
Publicado: 1995
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_1063651X_v51_n3_p2624_Blanco
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_1063651X_v51_n3_p2624_Blanco_oai
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Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires
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spelling I28-R145-paper_1063651X_v51_n3_p2624_Blanco_oai2024-08-16 Blanco, S. Quiroga, R.Q. Rosso, O.A. Kochen, S. 1995 In this paper we propose a method, based on the Gabor transform, to quantify and visualize the time evolution of the traditional frequency bands defined in the analysis of electroencephalogram (EEG) series. The information obtained in this way can be used for the information transfer analyses of the epileptic seizure as well as for their characterization. We found an optimal correlation between EEG visual inspection and the proposed method in the characterization of paroxism, spikes, and other transient alterations of background activity. The dynamical changes during an epileptic seizure are shown through the phase portrait. The method proposed was examplified with EEG series obtained with depth electrodes in refractory epileptic patients. © 1995 The American Physical Society. Fil:Blanco, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. application/pdf http://hdl.handle.net/20.500.12110/paper_1063651X_v51_n3_p2624_Blanco info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar Physical Review E 1995;51(3):2624-2631 Time-frequency analysis of electroencephalogram series info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_1063651X_v51_n3_p2624_Blanco_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
description In this paper we propose a method, based on the Gabor transform, to quantify and visualize the time evolution of the traditional frequency bands defined in the analysis of electroencephalogram (EEG) series. The information obtained in this way can be used for the information transfer analyses of the epileptic seizure as well as for their characterization. We found an optimal correlation between EEG visual inspection and the proposed method in the characterization of paroxism, spikes, and other transient alterations of background activity. The dynamical changes during an epileptic seizure are shown through the phase portrait. The method proposed was examplified with EEG series obtained with depth electrodes in refractory epileptic patients. © 1995 The American Physical Society.
format Artículo
Artículo
publishedVersion
author Blanco, S.
Quiroga, R.Q.
Rosso, O.A.
Kochen, S.
spellingShingle Blanco, S.
Quiroga, R.Q.
Rosso, O.A.
Kochen, S.
Time-frequency analysis of electroencephalogram series
author_facet Blanco, S.
Quiroga, R.Q.
Rosso, O.A.
Kochen, S.
author_sort Blanco, S.
title Time-frequency analysis of electroencephalogram series
title_short Time-frequency analysis of electroencephalogram series
title_full Time-frequency analysis of electroencephalogram series
title_fullStr Time-frequency analysis of electroencephalogram series
title_full_unstemmed Time-frequency analysis of electroencephalogram series
title_sort time-frequency analysis of electroencephalogram series
publishDate 1995
url http://hdl.handle.net/20.500.12110/paper_1063651X_v51_n3_p2624_Blanco
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_1063651X_v51_n3_p2624_Blanco_oai
work_keys_str_mv AT blancos timefrequencyanalysisofelectroencephalogramseries
AT quirogarq timefrequencyanalysisofelectroencephalogramseries
AT rossooa timefrequencyanalysisofelectroencephalogramseries
AT kochens timefrequencyanalysisofelectroencephalogramseries
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