Aging and cardiovascular complexity: effect of the length of RR tachograms

As we age, our hearts undergo changes that result in a reduction in complexity of physiological interactions between different control mechanisms. This results in a potential risk of cardiovascular diseases which are the number one cause of death globally. Since cardiac signals are nonstationary and...

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Main Authors: Karthi Balasubramanian, Nithin Nagaraj
Format: Article
Language:English
Published: PeerJ Inc. 2016-12-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/2755.pdf
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spelling doaj-da09473d328340d3a8f5e2be85b88f992020-11-24T22:27:42ZengPeerJ Inc.PeerJ2167-83592016-12-014e275510.7717/peerj.2755Aging and cardiovascular complexity: effect of the length of RR tachogramsKarthi Balasubramanian0Nithin Nagaraj1Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, IndiaConsciousness Studies Programme, National Institute of Advanced Studies, Bengaluru, Karnataka, IndiaAs we age, our hearts undergo changes that result in a reduction in complexity of physiological interactions between different control mechanisms. This results in a potential risk of cardiovascular diseases which are the number one cause of death globally. Since cardiac signals are nonstationary and nonlinear in nature, complexity measures are better suited to handle such data. In this study, three complexity measures are used, namely Lempel–Ziv complexity (LZ), Sample Entropy (SampEn) and Effort-To-Compress (ETC). We determined the minimum length of RR tachogram required for characterizing complexity of healthy young and healthy old hearts. All the three measures indicated significantly lower complexity values for older subjects than younger ones. However, the minimum length of heart-beat interval data needed differs for the three measures, with LZ and ETC needing as low as 10 samples, whereas SampEn requires at least 80 samples. Our study indicates that complexity measures such as LZ and ETC are good candidates for the analysis of cardiovascular dynamics since they are able to work with very short RR tachograms.https://peerj.com/articles/2755.pdfAgingCardiovascular dynamicsLempel–Ziv complexity (LZ)Sample entropy (sampEn)RR tachogramEffort-To-Compress (ETC)
collection DOAJ
language English
format Article
sources DOAJ
author Karthi Balasubramanian
Nithin Nagaraj
spellingShingle Karthi Balasubramanian
Nithin Nagaraj
Aging and cardiovascular complexity: effect of the length of RR tachograms
PeerJ
Aging
Cardiovascular dynamics
Lempel–Ziv complexity (LZ)
Sample entropy (sampEn)
RR tachogram
Effort-To-Compress (ETC)
author_facet Karthi Balasubramanian
Nithin Nagaraj
author_sort Karthi Balasubramanian
title Aging and cardiovascular complexity: effect of the length of RR tachograms
title_short Aging and cardiovascular complexity: effect of the length of RR tachograms
title_full Aging and cardiovascular complexity: effect of the length of RR tachograms
title_fullStr Aging and cardiovascular complexity: effect of the length of RR tachograms
title_full_unstemmed Aging and cardiovascular complexity: effect of the length of RR tachograms
title_sort aging and cardiovascular complexity: effect of the length of rr tachograms
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2016-12-01
description As we age, our hearts undergo changes that result in a reduction in complexity of physiological interactions between different control mechanisms. This results in a potential risk of cardiovascular diseases which are the number one cause of death globally. Since cardiac signals are nonstationary and nonlinear in nature, complexity measures are better suited to handle such data. In this study, three complexity measures are used, namely Lempel–Ziv complexity (LZ), Sample Entropy (SampEn) and Effort-To-Compress (ETC). We determined the minimum length of RR tachogram required for characterizing complexity of healthy young and healthy old hearts. All the three measures indicated significantly lower complexity values for older subjects than younger ones. However, the minimum length of heart-beat interval data needed differs for the three measures, with LZ and ETC needing as low as 10 samples, whereas SampEn requires at least 80 samples. Our study indicates that complexity measures such as LZ and ETC are good candidates for the analysis of cardiovascular dynamics since they are able to work with very short RR tachograms.
topic Aging
Cardiovascular dynamics
Lempel–Ziv complexity (LZ)
Sample entropy (sampEn)
RR tachogram
Effort-To-Compress (ETC)
url https://peerj.com/articles/2755.pdf
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