Dependency structures in differentially coded cardiovascular time series
type: Item
instance of: scholarly article
title: Dependency structures in differentially coded cardiovascular time series
zbMATH Open document ID: 1368.92088
DOI: 10.1155/2017/2082351
author: Tatjana Tasic
author: Sladjana Jovanovic
author: Omer Mohamoud
author: Tamara Skoric
author: Nina Japundzic-Zigon
author: Dragana Bajic
published in: Computational \& Mathematical Methods in Medicine
publication date: 2017-08-10T00:00:00Z
review text: Summary: Objectives. This paper analyses temporal dependency in the time series recorded from aging rats, the healthy ones and those with early developed hypertension. The aim is to explore effects of age and hypertension on mutual sample relationship along the time axis. Methods. A copula method is applied to raw and to differentially coded signals. The latter ones were additionally binary encoded for a joint conditional entropy application. The signals were recorded from freely moving male Wistar rats and from spontaneous hypertensive rats, aged 3 months and 12 months. Results. The highest level of comonotonic behavior of pulse interval with respect to systolic blood pressure is observed at time lags \(\tau = 0\), 3, and 4, while a strong counter-monotonic behavior occurs at time lags \(\tau = 1\) and 2. Conclusion. Dynamic range of aging rats is considerably reduced in hypertensive groups. Conditional entropy of systolic blood pressure signal, compared to unconditional, shows an increased level of discrepancy, except for a time lag 1, where the equality is preserved in spite of the memory of differential coder. The antiparallel streams play an important role at single beat time lag.
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6759174
zbMATH Keywords: early developed hypertension
zbMATH Keywords: conditional entropy
zbMATH Keywords: systolic blood pressure
Wikidata QID: Q42408979
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/2082351
OpenAlex ID: W2565896751
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description: scientific article; zbMATH DE number 6759174