Brain electrical activity analysis using wavelet-based informational tools

The traditional way of analyzing brain electrical activity, on the basis of Electroencephalography (EEG) records, relies mainly on visual inspection and years of training. Although it is quite useful, of course, one has to acknowledge its subjective nature that hardly allows for a systematic protoco...

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Detalles Bibliográficos
Autores principales: Rosso, O.A., Martin, M.T., Plastino, A.
Formato: JOUR
Materias:
EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Brain
Data processing
Frequencies
Neurology
Signal processing
Wavelet transforms
Neural dynamics
Visual inspection
Electroencephalography
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03784371_v313_n3-4_p587_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_03784371_v313_n3-4_p587_Rosso
record_format dspace
spelling todo:paper_03784371_v313_n3-4_p587_Rosso2023-10-03T15:32:38Z Brain electrical activity analysis using wavelet-based informational tools Rosso, O.A. Martin, M.T. Plastino, A. EEG Epileptic seizures Signal entropy Time-frequency signal analysis Wavelet analysis Brain Data processing Frequencies Neurology Signal processing Wavelet transforms Neural dynamics Visual inspection Electroencephalography The traditional way of analyzing brain electrical activity, on the basis of Electroencephalography (EEG) records, relies mainly on visual inspection and years of training. Although it is quite useful, of course, one has to acknowledge its subjective nature that hardly allows for a systematic protocol. In order to overcome this undesirable feature, a quantitative EEG analysis has been developed over the years that introduces objective measures, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. The processing of information by the brain is reflected in dynamical changes of the electrical activity in (i) time, (ii) frequency, and (iii) space. Therefore, the concomitant studies require methods capable of describing the qualitative variation of the signal in both time and frequency. In the present work we introduce new information tools based on the wavelet transform for the assessment of EEG data as adapted to a non-extensive scenario. © 2002 Elsevier Science B.V. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03784371_v313_n3-4_p587_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
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Brain
Data processing
Frequencies
Neurology
Signal processing
Wavelet transforms
Neural dynamics
Visual inspection
Electroencephalography
spellingShingle EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Brain
Data processing
Frequencies
Neurology
Signal processing
Wavelet transforms
Neural dynamics
Visual inspection
Electroencephalography
Rosso, O.A.
Martin, M.T.
Plastino, A.
Brain electrical activity analysis using wavelet-based informational tools
topic_facet EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Brain
Data processing
Frequencies
Neurology
Signal processing
Wavelet transforms
Neural dynamics
Visual inspection
Electroencephalography
description The traditional way of analyzing brain electrical activity, on the basis of Electroencephalography (EEG) records, relies mainly on visual inspection and years of training. Although it is quite useful, of course, one has to acknowledge its subjective nature that hardly allows for a systematic protocol. In order to overcome this undesirable feature, a quantitative EEG analysis has been developed over the years that introduces objective measures, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. The processing of information by the brain is reflected in dynamical changes of the electrical activity in (i) time, (ii) frequency, and (iii) space. Therefore, the concomitant studies require methods capable of describing the qualitative variation of the signal in both time and frequency. In the present work we introduce new information tools based on the wavelet transform for the assessment of EEG data as adapted to a non-extensive scenario. © 2002 Elsevier Science B.V. All rights reserved.
format JOUR
author Rosso, O.A.
Martin, M.T.
Plastino, A.
author_facet Rosso, O.A.
Martin, M.T.
Plastino, A.
author_sort Rosso, O.A.
title Brain electrical activity analysis using wavelet-based informational tools
title_short Brain electrical activity analysis using wavelet-based informational tools
title_full Brain electrical activity analysis using wavelet-based informational tools
title_fullStr Brain electrical activity analysis using wavelet-based informational tools
title_full_unstemmed Brain electrical activity analysis using wavelet-based informational tools
title_sort brain electrical activity analysis using wavelet-based informational tools
url http://hdl.handle.net/20.500.12110/paper_03784371_v313_n3-4_p587_Rosso
work_keys_str_mv AT rossooa brainelectricalactivityanalysisusingwaveletbasedinformationaltools
AT martinmt brainelectricalactivityanalysisusingwaveletbasedinformationaltools
AT plastinoa brainelectricalactivityanalysisusingwaveletbasedinformationaltools
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