Study of EEG brain maturation signals with multifractal detrended fluctuation analysis

Autores
Figliola, A.; Serrano, E.; Rostas, J.A.P.; Hunter, M.; Rosso, O.A.
Año de publicación
2007
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Fuente
AIP Conf. Proc. 2007;913:190-195
Materia
Brain maturation
EEG
Multifractal analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_0094243X_v913_n_p190_Figliola
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network_name_str Biblioteca Digital (UBA-FCEN)
spelling Study of EEG brain maturation signals with multifractal detrended fluctuation analysisFigliola, A.Serrano, E.Rostas, J.A.P.Hunter, M.Rosso, O.A.Brain maturationEEGMultifractal analysisIn 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.2007info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p190_FigliolaAIP Conf. Proc. 2007;913:190-195reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-18T10:09:08Zpaperaa:paper_0094243X_v913_n_p190_FigliolaInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-18 10:09:09.164Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Study of EEG brain maturation signals with multifractal detrended fluctuation analysis
title Study of EEG brain maturation signals with multifractal detrended fluctuation analysis
spellingShingle Study of EEG brain maturation signals with multifractal detrended fluctuation analysis
Figliola, A.
Brain maturation
EEG
Multifractal 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
dc.creator.none.fl_str_mv Figliola, A.
Serrano, E.
Rostas, J.A.P.
Hunter, M.
Rosso, O.A.
author Figliola, A.
author_facet Figliola, A.
Serrano, E.
Rostas, J.A.P.
Hunter, M.
Rosso, O.A.
author_role author
author2 Serrano, E.
Rostas, J.A.P.
Hunter, M.
Rosso, O.A.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Brain maturation
EEG
Multifractal analysis
topic Brain maturation
EEG
Multifractal analysis
dc.description.none.fl_txt_mv 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.
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.
publishDate 2007
dc.date.none.fl_str_mv 2007
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p190_Figliola
url http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p190_Figliola
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv AIP Conf. Proc. 2007;913:190-195
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
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instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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