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      Alterations of Cardiovascular Complexity during Acute Exposure to High Altitude: A Multiscale Entropy Approach

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          Abstract

          Stays at high altitude induce alterations in cardiovascular control and are a model of specific pathological cardiovascular derangements at sea level. However, high-altitude alterations of the complex cardiovascular dynamics remain an almost unexplored issue. Therefore, our aim is to describe the altered cardiovascular complexity at high altitude with a multiscale entropy ( MSE) approach. We recorded the beat-by-beat series of systolic and diastolic blood pressure and heart rate in 20 participants for 15 min twice, at sea level and after arrival at 4554 m a.s.l. We estimated Sample Entropy and MSE at scales of up to 64 beats, deriving average MSE values over the scales corresponding to the high-frequency ( MSE HF) and low-frequency ( MSE LF) bands of heart-rate variability. We found a significant loss of complexity at heart-rate and blood-pressure scales complementary to each other, with the decrease with high altitude being concentrated at Sample Entropy and at MSE HF for heart rate and at MSE LF for blood pressure. These changes can be ascribed to the acutely increased chemoreflex sensitivity in hypoxia that causes sympathetic activation and hyperventilation. Considering high altitude as a model of pathological states like heart failure, our results suggest new ways for monitoring treatments and rehabilitation protocols.

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          Most cited references39

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          Physiological time-series analysis using approximate entropy and sample entropy.

          Entropy, as it relates to dynamical systems, is the rate of information production. Methods for estimation of the entropy of a system represented by a time series are not, however, well suited to analysis of the short and noisy data sets encountered in cardiovascular and other biological studies. Pincus introduced approximate entropy (ApEn), a set of measures of system complexity closely related to entropy, which is easily applied to clinical cardiovascular and other time series. ApEn statistics, however, lead to inconsistent results. We have developed a new and related complexity measure, sample entropy (SampEn), and have compared ApEn and SampEn by using them to analyze sets of random numbers with known probabilistic character. We have also evaluated cross-ApEn and cross-SampEn, which use cardiovascular data sets to measure the similarity of two distinct time series. SampEn agreed with theory much more closely than ApEn over a broad range of conditions. The improved accuracy of SampEn statistics should make them useful in the study of experimental clinical cardiovascular and other biological time series.
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            Heart Rate Variability : Standards of Measurement, Physiological Interpretation, and Clinical Use

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              An Analysis of Transformations

              G. BOX, D R Cox (1964)
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                Author and article information

                Journal
                Entropy (Basel)
                Entropy (Basel)
                entropy
                Entropy
                MDPI
                1099-4300
                15 December 2019
                December 2019
                : 21
                : 12
                : 1224
                Affiliations
                [1 ]Istituto Auxologico Italiano, IRCCS, Department of Cardiovascular, Neural and Metabolic Sciences, S.Luca Hospital, 20149 Milan, Italy; a.faini@ 123456auxologico.it (A.F.); s.caravita@ 123456auxologico.it (S.C.)
                [2 ]Department of Management, Information and Production Engineering, University of Bergamo, 24044 Dalmine, Italy
                [3 ]Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
                [4 ]IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy; pcastiglioni@ 123456dongnocchi.it
                Author notes
                Author information
                https://orcid.org/0000-0002-8924-8234
                https://orcid.org/0000-0002-3003-6499
                https://orcid.org/0000-0002-8775-2605
                Article
                entropy-21-01224
                10.3390/e21121224
                7514569
                4117111b-b6f3-428c-bccc-29ee48be84de
                © 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/).

                History
                : 31 October 2019
                : 10 December 2019
                Categories
                Article

                sampen,cross-entropy,autonomic nervous system,heart rate,blood pressure,hypobaric hypoxia,rehabilitation medicine

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