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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-7515359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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