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Amplitude- and Fluctuation-Based Dispersion Entropy

Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in the characterisation of time series. It includes a mapping step, but the effect of different mappings has not been stud...

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Detalles Bibliográficos
Autores principales: Azami, Hamed, Escudero, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512725/
https://www.ncbi.nlm.nih.gov/pubmed/33265301
http://dx.doi.org/10.3390/e20030210
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author Azami, Hamed
Escudero, Javier
author_facet Azami, Hamed
Escudero, Javier
author_sort Azami, Hamed
collection PubMed
description Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in the characterisation of time series. It includes a mapping step, but the effect of different mappings has not been studied yet. Here, we investigate the effect of linear and nonlinear mapping approaches in DispEn. We also inspect the sensitivity of different parameters of DispEn to noise. Moreover, we develop fluctuation-based DispEn (FDispEn) as a measure to deal with only the fluctuations of time series. Furthermore, the original and fluctuation-based forbidden dispersion patterns are introduced to discriminate deterministic from stochastic time series. Finally, we compare the performance of DispEn, FDispEn, permutation entropy, sample entropy, and Lempel–Ziv complexity on two physiological datasets. The results show that DispEn is the most consistent technique to distinguish various dynamics of the biomedical signals. Due to their advantages over existing entropy methods, DispEn and FDispEn are expected to be broadly used for the characterization of a wide variety of real-world time series. The MATLAB codes used in this paper are freely available at http://dx.doi.org/10.7488/ds/2326.
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spelling pubmed-75127252020-11-09 Amplitude- and Fluctuation-Based Dispersion Entropy Azami, Hamed Escudero, Javier Entropy (Basel) Article Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in the characterisation of time series. It includes a mapping step, but the effect of different mappings has not been studied yet. Here, we investigate the effect of linear and nonlinear mapping approaches in DispEn. We also inspect the sensitivity of different parameters of DispEn to noise. Moreover, we develop fluctuation-based DispEn (FDispEn) as a measure to deal with only the fluctuations of time series. Furthermore, the original and fluctuation-based forbidden dispersion patterns are introduced to discriminate deterministic from stochastic time series. Finally, we compare the performance of DispEn, FDispEn, permutation entropy, sample entropy, and Lempel–Ziv complexity on two physiological datasets. The results show that DispEn is the most consistent technique to distinguish various dynamics of the biomedical signals. Due to their advantages over existing entropy methods, DispEn and FDispEn are expected to be broadly used for the characterization of a wide variety of real-world time series. The MATLAB codes used in this paper are freely available at http://dx.doi.org/10.7488/ds/2326. MDPI 2018-03-20 /pmc/articles/PMC7512725/ /pubmed/33265301 http://dx.doi.org/10.3390/e20030210 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Azami, Hamed
Escudero, Javier
Amplitude- and Fluctuation-Based Dispersion Entropy
title Amplitude- and Fluctuation-Based Dispersion Entropy
title_full Amplitude- and Fluctuation-Based Dispersion Entropy
title_fullStr Amplitude- and Fluctuation-Based Dispersion Entropy
title_full_unstemmed Amplitude- and Fluctuation-Based Dispersion Entropy
title_short Amplitude- and Fluctuation-Based Dispersion Entropy
title_sort amplitude- and fluctuation-based dispersion entropy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512725/
https://www.ncbi.nlm.nih.gov/pubmed/33265301
http://dx.doi.org/10.3390/e20030210
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