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Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series
A coarse-graining procedure, which involves averaging time series in non-overlapping windows followed by processing of the obtained multiple data sets, is the initial step in the multiscale entropy computation method. In this paper, we discuss how this procedure can be applied with other methods of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818195/ https://www.ncbi.nlm.nih.gov/pubmed/36611385 http://dx.doi.org/10.3390/diagnostics13010093 |
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author | Koronovskii, Alexander A. Blokhina, Inna A. Dmitrenko, Alexander V. Tuzhilkin, Matvey A. Moiseikina, Tatyana V. Elizarova, Inna V. Semyachkina-Glushkovskaya, Oxana V. Pavlov, Alexey N. |
author_facet | Koronovskii, Alexander A. Blokhina, Inna A. Dmitrenko, Alexander V. Tuzhilkin, Matvey A. Moiseikina, Tatyana V. Elizarova, Inna V. Semyachkina-Glushkovskaya, Oxana V. Pavlov, Alexey N. |
author_sort | Koronovskii, Alexander A. |
collection | PubMed |
description | A coarse-graining procedure, which involves averaging time series in non-overlapping windows followed by processing of the obtained multiple data sets, is the initial step in the multiscale entropy computation method. In this paper, we discuss how this procedure can be applied with other methods of time series analysis. Based on extended detrended fluctuation analysis (EDFA), we compare signal processing results for data sets with and without coarse-graining. Using the simulated data provided by the interacting nephrons model, we show how this procedure increases, up to 48%, the distinctions between local scaling exponents quantifying synchronous and asynchronous chaotic oscillations. Based on the experimental data of electrocorticograms (ECoG) of mice, an improvement in differences in local scaling exponents up to 41% and Student’s t-values up to 34% was revealed. |
format | Online Article Text |
id | pubmed-9818195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98181952023-01-07 Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series Koronovskii, Alexander A. Blokhina, Inna A. Dmitrenko, Alexander V. Tuzhilkin, Matvey A. Moiseikina, Tatyana V. Elizarova, Inna V. Semyachkina-Glushkovskaya, Oxana V. Pavlov, Alexey N. Diagnostics (Basel) Article A coarse-graining procedure, which involves averaging time series in non-overlapping windows followed by processing of the obtained multiple data sets, is the initial step in the multiscale entropy computation method. In this paper, we discuss how this procedure can be applied with other methods of time series analysis. Based on extended detrended fluctuation analysis (EDFA), we compare signal processing results for data sets with and without coarse-graining. Using the simulated data provided by the interacting nephrons model, we show how this procedure increases, up to 48%, the distinctions between local scaling exponents quantifying synchronous and asynchronous chaotic oscillations. Based on the experimental data of electrocorticograms (ECoG) of mice, an improvement in differences in local scaling exponents up to 41% and Student’s t-values up to 34% was revealed. MDPI 2022-12-28 /pmc/articles/PMC9818195/ /pubmed/36611385 http://dx.doi.org/10.3390/diagnostics13010093 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Koronovskii, Alexander A. Blokhina, Inna A. Dmitrenko, Alexander V. Tuzhilkin, Matvey A. Moiseikina, Tatyana V. Elizarova, Inna V. Semyachkina-Glushkovskaya, Oxana V. Pavlov, Alexey N. Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series |
title | Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series |
title_full | Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series |
title_fullStr | Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series |
title_full_unstemmed | Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series |
title_short | Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series |
title_sort | extended detrended fluctuation analysis of coarse-grained time series |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818195/ https://www.ncbi.nlm.nih.gov/pubmed/36611385 http://dx.doi.org/10.3390/diagnostics13010093 |
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