Permutation entropy and its main biomedical and econophysics applications: A review

Autores
Zanin, Massimiliano; Zunino, Luciano José; Rosso, Osvaldo Anibal; Papo, David
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Entropy is a powerful tool for the analysis of time series, as it allows describing the probability distributions of the possible state of a system, and therefore the information encoded in it. Nevertheless, important information may be codified also in the temporal dynamics, an aspect which is not usually taken into account. The idea of calculating entropy based on permutation patterns (that is, permutations defined by the order relations among values of a time series) has received a lot of attention in the last years, especially for the understanding of complex and chaotic systems. Permutation entropy directly accounts for the temporal information contained in the time series; furthermore, it has the quality of simplicity, robustness and very low computational cost. To celebrate the tenth anniversary of the original work, here we analyze the theoretical foundations of the permutation entropy, as well as the main recent applications to the analysis of economical markets and to the understanding of biomedical systems.
Fil: Zanin, Massimiliano. Universidad Politécnica de Madrid; España
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina
Fil: Rosso, Osvaldo Anibal. Universidad de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Papo, David. Universidad Politécnica de Madrid; España
Materia
ECONOPHYSICS
EEG
EPILEPSY
FORBIDDEN PATTERNS
PERMUTATION ENTROPY
SHANNON ENTROPY
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:11336/197305
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Permutation entropy and its main biomedical and econophysics applications: A reviewZanin, MassimilianoZunino, Luciano JoséRosso, Osvaldo AnibalPapo, DavidECONOPHYSICSEEGEPILEPSYFORBIDDEN PATTERNSPERMUTATION ENTROPYSHANNON ENTROPYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Entropy is a powerful tool for the analysis of time series, as it allows describing the probability distributions of the possible state of a system, and therefore the information encoded in it. Nevertheless, important information may be codified also in the temporal dynamics, an aspect which is not usually taken into account. The idea of calculating entropy based on permutation patterns (that is, permutations defined by the order relations among values of a time series) has received a lot of attention in the last years, especially for the understanding of complex and chaotic systems. Permutation entropy directly accounts for the temporal information contained in the time series; furthermore, it has the quality of simplicity, robustness and very low computational cost. To celebrate the tenth anniversary of the original work, here we analyze the theoretical foundations of the permutation entropy, as well as the main recent applications to the analysis of economical markets and to the understanding of biomedical systems.Fil: Zanin, Massimiliano. Universidad Politécnica de Madrid; EspañaFil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; ArgentinaFil: Rosso, Osvaldo Anibal. Universidad de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Papo, David. Universidad Politécnica de Madrid; EspañaMolecular Diversity Preservation International2012-08info: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/11336/197305Zanin, Massimiliano; Zunino, Luciano José; Rosso, Osvaldo Anibal; Papo, David; Permutation entropy and its main biomedical and econophysics applications: A review; Molecular Diversity Preservation International; Entropy; 14; 8; 8-2012; 1553-15771099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/e14081553info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:04Zoai:ri.conicet.gov.ar:11336/197305instacron: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:34982025-09-03 09:57:04.708CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Permutation entropy and its main biomedical and econophysics applications: A review
title Permutation entropy and its main biomedical and econophysics applications: A review
spellingShingle Permutation entropy and its main biomedical and econophysics applications: A review
Zanin, Massimiliano
ECONOPHYSICS
EEG
EPILEPSY
FORBIDDEN PATTERNS
PERMUTATION ENTROPY
SHANNON ENTROPY
title_short Permutation entropy and its main biomedical and econophysics applications: A review
title_full Permutation entropy and its main biomedical and econophysics applications: A review
title_fullStr Permutation entropy and its main biomedical and econophysics applications: A review
title_full_unstemmed Permutation entropy and its main biomedical and econophysics applications: A review
title_sort Permutation entropy and its main biomedical and econophysics applications: A review
dc.creator.none.fl_str_mv Zanin, Massimiliano
Zunino, Luciano José
Rosso, Osvaldo Anibal
Papo, David
author Zanin, Massimiliano
author_facet Zanin, Massimiliano
Zunino, Luciano José
Rosso, Osvaldo Anibal
Papo, David
author_role author
author2 Zunino, Luciano José
Rosso, Osvaldo Anibal
Papo, David
author2_role author
author
author
dc.subject.none.fl_str_mv ECONOPHYSICS
EEG
EPILEPSY
FORBIDDEN PATTERNS
PERMUTATION ENTROPY
SHANNON ENTROPY
topic ECONOPHYSICS
EEG
EPILEPSY
FORBIDDEN PATTERNS
PERMUTATION ENTROPY
SHANNON ENTROPY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Entropy is a powerful tool for the analysis of time series, as it allows describing the probability distributions of the possible state of a system, and therefore the information encoded in it. Nevertheless, important information may be codified also in the temporal dynamics, an aspect which is not usually taken into account. The idea of calculating entropy based on permutation patterns (that is, permutations defined by the order relations among values of a time series) has received a lot of attention in the last years, especially for the understanding of complex and chaotic systems. Permutation entropy directly accounts for the temporal information contained in the time series; furthermore, it has the quality of simplicity, robustness and very low computational cost. To celebrate the tenth anniversary of the original work, here we analyze the theoretical foundations of the permutation entropy, as well as the main recent applications to the analysis of economical markets and to the understanding of biomedical systems.
Fil: Zanin, Massimiliano. Universidad Politécnica de Madrid; España
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina
Fil: Rosso, Osvaldo Anibal. Universidad de Buenos Aires; Argentina. Universidade Federal de Alagoas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Papo, David. Universidad Politécnica de Madrid; España
description Entropy is a powerful tool for the analysis of time series, as it allows describing the probability distributions of the possible state of a system, and therefore the information encoded in it. Nevertheless, important information may be codified also in the temporal dynamics, an aspect which is not usually taken into account. The idea of calculating entropy based on permutation patterns (that is, permutations defined by the order relations among values of a time series) has received a lot of attention in the last years, especially for the understanding of complex and chaotic systems. Permutation entropy directly accounts for the temporal information contained in the time series; furthermore, it has the quality of simplicity, robustness and very low computational cost. To celebrate the tenth anniversary of the original work, here we analyze the theoretical foundations of the permutation entropy, as well as the main recent applications to the analysis of economical markets and to the understanding of biomedical systems.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
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/11336/197305
Zanin, Massimiliano; Zunino, Luciano José; Rosso, Osvaldo Anibal; Papo, David; Permutation entropy and its main biomedical and econophysics applications: A review; Molecular Diversity Preservation International; Entropy; 14; 8; 8-2012; 1553-1577
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/197305
identifier_str_mv Zanin, Massimiliano; Zunino, Luciano José; Rosso, Osvaldo Anibal; Papo, David; Permutation entropy and its main biomedical and econophysics applications: A review; Molecular Diversity Preservation International; Entropy; 14; 8; 8-2012; 1553-1577
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/e14081553
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
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score 13.13397

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