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A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases

Sample Entropy (SampEn) is a popular method for assessing the regularity of physiological signals. Prior to the entropy calculation, certain common parameters need to be initialized: Embedding dimension m, tolerance threshold r and time series length N. Nevertheless, the determination of these param...

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Autores principales: Xiong, Jinle, Liang, Xueyu, Zhu, Tingting, Zhao, Lina, Li, Jianqing, Liu, Chengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515359/
http://dx.doi.org/10.3390/e21090830
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author Xiong, Jinle
Liang, Xueyu
Zhu, Tingting
Zhao, Lina
Li, Jianqing
Liu, Chengyu
author_facet Xiong, Jinle
Liang, Xueyu
Zhu, Tingting
Zhao, Lina
Li, Jianqing
Liu, Chengyu
author_sort Xiong, Jinle
collection PubMed
description Sample Entropy (SampEn) is a popular method for assessing the regularity of physiological signals. Prior to the entropy calculation, certain common parameters need to be initialized: Embedding dimension m, tolerance threshold r and time series length N. Nevertheless, the determination of these parameters is usually based on expert experience. Improper assignments of these parameters tend to bring invalid values, inconsistency and low statistical significance in entropy calculation. In this study, we proposed a new tolerance threshold with physical meaning ([Formula: see text]), which was based on the sampling resolution of physiological signals. Statistical significance, percentage of invalid entropy values and ROC curve were used to evaluate the proposed [Formula: see text] against the traditional threshold ([Formula: see text]). Normal sinus rhythm (NSR), congestive heart failure (CHF) as well as atrial fibrillation (AF) RR interval recordings from Physionet were used as the test data. The results demonstrated that the proposed [Formula: see text] had better stability than [Formula: see text] , hence more adaptive to detect cardiovascular diseases of CHF and AF.
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spelling pubmed-75153592020-11-09 A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases Xiong, Jinle Liang, Xueyu Zhu, Tingting Zhao, Lina Li, Jianqing Liu, Chengyu Entropy (Basel) Article Sample Entropy (SampEn) is a popular method for assessing the regularity of physiological signals. Prior to the entropy calculation, certain common parameters need to be initialized: Embedding dimension m, tolerance threshold r and time series length N. Nevertheless, the determination of these parameters is usually based on expert experience. Improper assignments of these parameters tend to bring invalid values, inconsistency and low statistical significance in entropy calculation. In this study, we proposed a new tolerance threshold with physical meaning ([Formula: see text]), which was based on the sampling resolution of physiological signals. Statistical significance, percentage of invalid entropy values and ROC curve were used to evaluate the proposed [Formula: see text] against the traditional threshold ([Formula: see text]). Normal sinus rhythm (NSR), congestive heart failure (CHF) as well as atrial fibrillation (AF) RR interval recordings from Physionet were used as the test data. The results demonstrated that the proposed [Formula: see text] had better stability than [Formula: see text] , hence more adaptive to detect cardiovascular diseases of CHF and AF. MDPI 2019-08-25 /pmc/articles/PMC7515359/ http://dx.doi.org/10.3390/e21090830 Text en © 2019 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
Xiong, Jinle
Liang, Xueyu
Zhu, Tingting
Zhao, Lina
Li, Jianqing
Liu, Chengyu
A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
title A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
title_full A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
title_fullStr A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
title_full_unstemmed A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
title_short A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
title_sort new physically meaningful threshold of sample entropy for detecting cardiovascular diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515359/
http://dx.doi.org/10.3390/e21090830
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