Study of EEG brain maturation signals with multifractal detrended fluctuation analysis
In this work, we have study the EEG signals of birds during the first 6 weeks of life. The aim of the article is to perform a quantitative analysis of the dynamical changes observed in these signals due to the brain maturation effects. The signals' long scaling behaviour is study by Multifracta...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p190_Figliola https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p190_Figliola_oai |
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I28-R145-paper_0094243X_v913_n_p190_Figliola_oai2024-08-16 Figliola, A. Serrano, E. Rostas, J.A.P. Hunter, M. Rosso, O.A. 2007 In this work, we have study the EEG signals of birds during the first 6 weeks of life. The aim of the article is to perform a quantitative analysis of the dynamical changes observed in these signals due to the brain maturation effects. The signals' long scaling behaviour is study by Multifractal Detrended Fluctuation Analysis (MFDFA). This method allows the multifractal characterization of these EEG nonstationary time series and characterize the different stage of bird brain maturation. © 2007 American Institute of Physics. Fil:Figliola, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Serrano, E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. application/pdf http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p190_Figliola info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar AIP Conf. Proc. 2007;913:190-195 Brain maturation EEG Multifractal analysis Study of EEG brain maturation signals with multifractal detrended fluctuation analysis info:eu-repo/semantics/conferenceObject info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p190_Figliola_oai |
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Universidad de Buenos Aires |
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I-28 |
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R-145 |
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Repositorio Digital de la Universidad de Buenos Aires (UBA) |
topic |
Brain maturation EEG Multifractal analysis |
spellingShingle |
Brain maturation EEG Multifractal analysis Figliola, A. Serrano, E. Rostas, J.A.P. Hunter, M. Rosso, O.A. Study of EEG brain maturation signals with multifractal detrended fluctuation analysis |
topic_facet |
Brain maturation EEG Multifractal analysis |
description |
In this work, we have study the EEG signals of birds during the first 6 weeks of life. The aim of the article is to perform a quantitative analysis of the dynamical changes observed in these signals due to the brain maturation effects. The signals' long scaling behaviour is study by Multifractal Detrended Fluctuation Analysis (MFDFA). This method allows the multifractal characterization of these EEG nonstationary time series and characterize the different stage of bird brain maturation. © 2007 American Institute of Physics. |
format |
Documento de conferencia Documento de conferencia publishedVersion |
author |
Figliola, A. Serrano, E. Rostas, J.A.P. Hunter, M. Rosso, O.A. |
author_facet |
Figliola, A. Serrano, E. Rostas, J.A.P. Hunter, M. Rosso, O.A. |
author_sort |
Figliola, A. |
title |
Study of EEG brain maturation signals with multifractal detrended fluctuation analysis |
title_short |
Study of EEG brain maturation signals with multifractal detrended fluctuation analysis |
title_full |
Study of EEG brain maturation signals with multifractal detrended fluctuation analysis |
title_fullStr |
Study of EEG brain maturation signals with multifractal detrended fluctuation analysis |
title_full_unstemmed |
Study of EEG brain maturation signals with multifractal detrended fluctuation analysis |
title_sort |
study of eeg brain maturation signals with multifractal detrended fluctuation analysis |
publishDate |
2007 |
url |
http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p190_Figliola https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p190_Figliola_oai |
work_keys_str_mv |
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