A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients

Autores
Rosenblatt, Mariel; Figliola, Maria Alejandra; Paccosi, Ruben Gustavo; Serrano, Eduardo Pedro; Rosso, Osvaldo Aníbal
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed. In addition, an extension of this methodology based on multiresolution quantities, called wavelet leaders, is presented. In particular, the temporal evolution of Shannon entropy and the statistical complexity evaluated with different sets of multiresolution wavelet coefficients are considered. Both methodologies are applied to the quantitative EEG time series analysis of a tonic-clonic epileptic seizure, and comparative results are presented. In particular, even when both methods describe the dynamical changes of the EEG time series, the one based on wavelet leaders presents a better time resolution.
Fil: Rosenblatt, Mariel. Universidad Nacional de General Sarmiento; Argentina
Fil: Figliola, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Fil: Paccosi, Ruben Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Fil: Serrano, Eduardo Pedro. Universidad Nacional de San Martín; Argentina
Fil: Rosso, Osvaldo Aníbal. Instituto Tecnológico de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil
Materia
EEG
ENTROPY
LOCAL REGULARITY
STATISTICAL COMPLEXITY
WAVELET ANALYSIS
WAVELET LEADERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/36543
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/36543
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficientsRosenblatt, MarielFigliola, Maria AlejandraPaccosi, Ruben GustavoSerrano, Eduardo PedroRosso, Osvaldo AníbalEEGENTROPYLOCAL REGULARITYSTATISTICAL COMPLEXITYWAVELET ANALYSISWAVELET LEADERShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed. In addition, an extension of this methodology based on multiresolution quantities, called wavelet leaders, is presented. In particular, the temporal evolution of Shannon entropy and the statistical complexity evaluated with different sets of multiresolution wavelet coefficients are considered. Both methodologies are applied to the quantitative EEG time series analysis of a tonic-clonic epileptic seizure, and comparative results are presented. In particular, even when both methods describe the dynamical changes of the EEG time series, the one based on wavelet leaders presents a better time resolution.Fil: Rosenblatt, Mariel. Universidad Nacional de General Sarmiento; ArgentinaFil: Figliola, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; ArgentinaFil: Paccosi, Ruben Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; ArgentinaFil: Serrano, Eduardo Pedro. Universidad Nacional de San Martín; ArgentinaFil: Rosso, Osvaldo Aníbal. Instituto Tecnológico de Buenos Aires; Argentina. Universidade Federal de Alagoas; BrasilMolecular Diversity Preservation International2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/36543Rosenblatt, Mariel; Figliola, Maria Alejandra; Paccosi, Ruben Gustavo; Serrano, Eduardo Pedro; Rosso, Osvaldo Aníbal; A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients; Molecular Diversity Preservation International; Entropy; 16; 11; 11-2014; 5976-60051099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/e16115976info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/16/11/5976info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:39:41Zoai:ri.conicet.gov.ar:11336/36543instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:39:41.956CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
title A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
spellingShingle A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
Rosenblatt, Mariel
EEG
ENTROPY
LOCAL REGULARITY
STATISTICAL COMPLEXITY
WAVELET ANALYSIS
WAVELET LEADERS
title_short A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
title_full A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
title_fullStr A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
title_full_unstemmed A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
title_sort A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients
dc.creator.none.fl_str_mv Rosenblatt, Mariel
Figliola, Maria Alejandra
Paccosi, Ruben Gustavo
Serrano, Eduardo Pedro
Rosso, Osvaldo Aníbal
author Rosenblatt, Mariel
author_facet Rosenblatt, Mariel
Figliola, Maria Alejandra
Paccosi, Ruben Gustavo
Serrano, Eduardo Pedro
Rosso, Osvaldo Aníbal
author_role author
author2 Figliola, Maria Alejandra
Paccosi, Ruben Gustavo
Serrano, Eduardo Pedro
Rosso, Osvaldo Aníbal
author2_role author
author
author
author
dc.subject.none.fl_str_mv EEG
ENTROPY
LOCAL REGULARITY
STATISTICAL COMPLEXITY
WAVELET ANALYSIS
WAVELET LEADERS
topic EEG
ENTROPY
LOCAL REGULARITY
STATISTICAL COMPLEXITY
WAVELET ANALYSIS
WAVELET LEADERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed. In addition, an extension of this methodology based on multiresolution quantities, called wavelet leaders, is presented. In particular, the temporal evolution of Shannon entropy and the statistical complexity evaluated with different sets of multiresolution wavelet coefficients are considered. Both methodologies are applied to the quantitative EEG time series analysis of a tonic-clonic epileptic seizure, and comparative results are presented. In particular, even when both methods describe the dynamical changes of the EEG time series, the one based on wavelet leaders presents a better time resolution.
Fil: Rosenblatt, Mariel. Universidad Nacional de General Sarmiento; Argentina
Fil: Figliola, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Fil: Paccosi, Ruben Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento; Argentina
Fil: Serrano, Eduardo Pedro. Universidad Nacional de San Martín; Argentina
Fil: Rosso, Osvaldo Aníbal. Instituto Tecnológico de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil
description The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed. In addition, an extension of this methodology based on multiresolution quantities, called wavelet leaders, is presented. In particular, the temporal evolution of Shannon entropy and the statistical complexity evaluated with different sets of multiresolution wavelet coefficients are considered. Both methodologies are applied to the quantitative EEG time series analysis of a tonic-clonic epileptic seizure, and comparative results are presented. In particular, even when both methods describe the dynamical changes of the EEG time series, the one based on wavelet leaders presents a better time resolution.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/36543
Rosenblatt, Mariel; Figliola, Maria Alejandra; Paccosi, Ruben Gustavo; Serrano, Eduardo Pedro; Rosso, Osvaldo Aníbal; A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients; Molecular Diversity Preservation International; Entropy; 16; 11; 11-2014; 5976-6005
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/36543
identifier_str_mv Rosenblatt, Mariel; Figliola, Maria Alejandra; Paccosi, Ruben Gustavo; Serrano, Eduardo Pedro; Rosso, Osvaldo Aníbal; A quantitative analysis of an EEG epileptic record based on multiresolution wavelet coefficients; Molecular Diversity Preservation International; Entropy; 16; 11; 11-2014; 5976-6005
1099-4300
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/e16115976
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/16/11/5976
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614423113629696
score 13.070432

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