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

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...

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Detalles Bibliográficos
Autores principales:	Zanin, Massimiliano, Zunino, Luciano José, Rosso, Osvaldo A., Papo, David
Formato:	Articulo Revision
Lenguaje:	Inglés
Publicado:	2012
Materias:	Ciencias Exactas Ingeniería econophysics EEG epilepsy forbidden patterns permutation entropy Shannon entropy
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/37664 http://www.mdpi.com/1099-4300/14/8/1553
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Exactas Ingeniería econophysics EEG epilepsy forbidden patterns permutation entropy Shannon entropy
spellingShingle	Ciencias Exactas Ingeniería econophysics EEG epilepsy forbidden patterns permutation entropy Shannon entropy Zanin, Massimiliano Zunino, Luciano José Rosso, Osvaldo A. Papo, David Permutation entropy and its main biomedical and econophysics applications: a review
topic_facet	Ciencias Exactas Ingeniería econophysics EEG epilepsy forbidden patterns permutation entropy Shannon entropy
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.
format	Articulo Revision
author	Zanin, Massimiliano Zunino, Luciano José Rosso, Osvaldo A. Papo, David
author_facet	Zanin, Massimiliano Zunino, Luciano José Rosso, Osvaldo A. Papo, David
author_sort	Zanin, Massimiliano
title	Permutation entropy and its main biomedical and econophysics applications: a review
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
publishDate	2012
url	http://sedici.unlp.edu.ar/handle/10915/37664 http://www.mdpi.com/1099-4300/14/8/1553
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Permutation entropy and its main biomedical and econophysics applications: a review

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