Time-frequency analysis of electroencephalogram series
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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paper:paper_1063651X_v51_n3_p2624_Blanco2023-06-08T16:03:34Z Time-frequency analysis of electroencephalogram series Blanco, Susana Alicia Ana 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. 1995 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1063651X_v51_n3_p2624_Blanco http://hdl.handle.net/20.500.12110/paper_1063651X_v51_n3_p2624_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 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. |
author |
Blanco, Susana Alicia Ana |
spellingShingle |
Blanco, Susana Alicia Ana Time-frequency analysis of electroencephalogram series |
author_facet |
Blanco, Susana Alicia Ana |
author_sort |
Blanco, Susana Alicia Ana |
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 |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1063651X_v51_n3_p2624_Blanco http://hdl.handle.net/20.500.12110/paper_1063651X_v51_n3_p2624_Blanco |
work_keys_str_mv |
AT blancosusanaaliciaana timefrequencyanalysisofelectroencephalogramseries |
_version_ |
1768543811407970304 |