EEG analysis using wavelet-based information tools

Wavelet-based informational tools for quantitative electroencephalogram (EEG) record analysis are reviewed. Relative wavelet energies, wavelet entropies and wavelet statistical complexities are used in the characterization of scalp EEG records corresponding to secondary generalized tonic-clonic epil...

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Detalles Bibliográficos
Autor principal:	Figliola, María Alejandra
Publicado:	2006
Materias:	EEG Epileptic seizures Information theory Signal entropy Statistical complexity Wavelet analysis analytic method article electroencephalogram entropy epileptic discharge epileptic focus grand mal epilepsy human information processing information science priority journal scalp statistics tonic clonic seizure waveform adolescent adult brain child comparative study electroencephalography epilepsy female male pathophysiology physiology signal processing time Adolescent Adult Brain Child Electroencephalography Entropy Epilepsy Female Humans Male Signal Processing, Computer-Assisted Time Factors
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v153_n2_p163_Rosso http://hdl.handle.net/20.500.12110/paper_01650270_v153_n2_p163_Rosso
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_01650270_v153_n2_p163_Rosso
record_format	dspace
spelling	paper:paper_01650270_v153_n2_p163_Rosso2023-06-08T15:14:35Z EEG analysis using wavelet-based information tools Figliola, María Alejandra EEG Epileptic seizures Information theory Signal entropy Statistical complexity Wavelet analysis analytic method article electroencephalogram entropy epileptic discharge epileptic focus grand mal epilepsy human information processing information science priority journal scalp statistics tonic clonic seizure waveform adolescent adult brain child comparative study electroencephalography epilepsy female male pathophysiology physiology signal processing time Adolescent Adult Brain Child Electroencephalography Entropy Epilepsy Female Humans Male Signal Processing, Computer-Assisted Time Factors Wavelet-based informational tools for quantitative electroencephalogram (EEG) record analysis are reviewed. Relative wavelet energies, wavelet entropies and wavelet statistical complexities are used in the characterization of scalp EEG records corresponding to secondary generalized tonic-clonic epileptic seizures. In particular, we show that the epileptic recruitment rhythm observed during seizure development is well described in terms of the relative wavelet energies. In addition, during the concomitant time-period the entropy diminishes while complexity grows. This is construed as evidence supporting the conjecture that an epileptic focus, for this kind of seizures, triggers a self-organized brain state characterized by both order and maximal complexity. © 2006 Elsevier B.V. All rights reserved. Fil:Figliola, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2006 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v153_n2_p163_Rosso http://hdl.handle.net/20.500.12110/paper_01650270_v153_n2_p163_Rosso
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	EEG Epileptic seizures Information theory Signal entropy Statistical complexity Wavelet analysis analytic method article electroencephalogram entropy epileptic discharge epileptic focus grand mal epilepsy human information processing information science priority journal scalp statistics tonic clonic seizure waveform adolescent adult brain child comparative study electroencephalography epilepsy female male pathophysiology physiology signal processing time Adolescent Adult Brain Child Electroencephalography Entropy Epilepsy Female Humans Male Signal Processing, Computer-Assisted Time Factors
spellingShingle	EEG Epileptic seizures Information theory Signal entropy Statistical complexity Wavelet analysis analytic method article electroencephalogram entropy epileptic discharge epileptic focus grand mal epilepsy human information processing information science priority journal scalp statistics tonic clonic seizure waveform adolescent adult brain child comparative study electroencephalography epilepsy female male pathophysiology physiology signal processing time Adolescent Adult Brain Child Electroencephalography Entropy Epilepsy Female Humans Male Signal Processing, Computer-Assisted Time Factors Figliola, María Alejandra EEG analysis using wavelet-based information tools
topic_facet	EEG Epileptic seizures Information theory Signal entropy Statistical complexity Wavelet analysis analytic method article electroencephalogram entropy epileptic discharge epileptic focus grand mal epilepsy human information processing information science priority journal scalp statistics tonic clonic seizure waveform adolescent adult brain child comparative study electroencephalography epilepsy female male pathophysiology physiology signal processing time Adolescent Adult Brain Child Electroencephalography Entropy Epilepsy Female Humans Male Signal Processing, Computer-Assisted Time Factors
description	Wavelet-based informational tools for quantitative electroencephalogram (EEG) record analysis are reviewed. Relative wavelet energies, wavelet entropies and wavelet statistical complexities are used in the characterization of scalp EEG records corresponding to secondary generalized tonic-clonic epileptic seizures. In particular, we show that the epileptic recruitment rhythm observed during seizure development is well described in terms of the relative wavelet energies. In addition, during the concomitant time-period the entropy diminishes while complexity grows. This is construed as evidence supporting the conjecture that an epileptic focus, for this kind of seizures, triggers a self-organized brain state characterized by both order and maximal complexity. © 2006 Elsevier B.V. All rights reserved.
author	Figliola, María Alejandra
author_facet	Figliola, María Alejandra
author_sort	Figliola, María Alejandra
title	EEG analysis using wavelet-based information tools
title_short	EEG analysis using wavelet-based information tools
title_full	EEG analysis using wavelet-based information tools
title_fullStr	EEG analysis using wavelet-based information tools
title_full_unstemmed	EEG analysis using wavelet-based information tools
title_sort	eeg analysis using wavelet-based information tools
publishDate	2006
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v153_n2_p163_Rosso http://hdl.handle.net/20.500.12110/paper_01650270_v153_n2_p163_Rosso
work_keys_str_mv	AT figliolamariaalejandra eeganalysisusingwaveletbasedinformationtools
_version_	1768542407723319296

EEG analysis using wavelet-based information tools

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