Literature DB >> 31893647

Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states.

Luca Faes1, Manuel Gómez-Extremera2, Riccardo Pernice1, Pedro Carpena2, Giandomenico Nollo3, Alberto Porta4, Pedro Bernaola-Galván2.   

Abstract

Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV) analysis, the presence and the extent to which nonlinear dynamics contribute to short-term HRV are still controversial. This work aims at testing the hypothesis that different types of nonlinearity can be observed in HRV depending on the method adopted and on the physiopathological state. Two entropy-based measures of time series complexity (normalized complexity index, NCI) and regularity (information storage, IS), and a measure quantifying deviations from linear correlations in a time series (Gaussian linear contrast, GLC), are applied to short HRV recordings obtained in young (Y) and old (O) healthy subjects and in myocardial infarction (MI) patients monitored in the resting supine position and in the upright position reached through head-up tilt. The method of surrogate data is employed to detect the presence and quantify the contribution of nonlinear dynamics to HRV. We find that the three measures differ both in their variations across groups and conditions and in the percentage and strength of nonlinear HRV dynamics. NCI and IS displayed opposite variations, suggesting more complex dynamics in O and MI compared to Y and less complex dynamics during tilt. The strength of nonlinear dynamics is reduced by tilt using all measures in Y, while only GLC detects a significant strengthening of such dynamics in MI. A large percentage of detected nonlinear dynamics is revealed only by the IS measure in the Y group at rest, with a decrease in O and MI and during T, while NCI and GLC detect lower percentages in all groups and conditions. While these results suggest that distinct dynamic structures may lie beneath short-term HRV in different physiological states and pathological conditions, the strong dependence on the measure adopted and on their implementation suggests that physiological interpretations should be provided with caution.

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Year:  2019        PMID: 31893647     DOI: 10.1063/1.5115506

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  7 in total

1.  Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic.

Authors:  Gorana Mijatovic; Dragan Kljajic; Karolina Kasas-Lazetic; Miodrag Milutinov; Salvatore Stivala; Alessandro Busacca; Alfonso Carmelo Cino; Sebastiano Stramaglia; Luca Faes
Journal:  Entropy (Basel)       Date:  2022-05-20       Impact factor: 2.738

2.  Entropy and Multifractal-Multiscale Indices of Heart Rate Time Series to Evaluate Intricate Cognitive-Autonomic Interactions.

Authors:  Pierre Bouny; Laurent M Arsac; Emma Touré Cuq; Veronique Deschodt-Arsac
Journal:  Entropy (Basel)       Date:  2021-05-25       Impact factor: 2.524

Review 3.  Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review.

Authors:  Teresa Henriques; Maria Ribeiro; Andreia Teixeira; Luísa Castro; Luís Antunes; Cristina Costa-Santos
Journal:  Entropy (Basel)       Date:  2020-03-09       Impact factor: 2.524

4.  Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series.

Authors:  Aurora Martins; Riccardo Pernice; Celestino Amado; Ana Paula Rocha; Maria Eduarda Silva; Michal Javorka; Luca Faes
Journal:  Entropy (Basel)       Date:  2020-03-11       Impact factor: 2.524

5.  Recurrence Quantitative Analysis of Wavelet-Based Surrogate Data for Nonlinearity Testing in Heart Rate Variability.

Authors:  Martín Calderón-Juárez; Gertrudis Hortensia González Gómez; Juan C Echeverría; Héctor Pérez-Grovas; Eduardo Quintanar; Claudia Lerma
Journal:  Front Physiol       Date:  2022-02-09       Impact factor: 4.566

6.  Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics.

Authors:  Ivan Lazic; Riccardo Pernice; Tatjana Loncar-Turukalo; Gorana Mijatovic; Luca Faes
Journal:  Entropy (Basel)       Date:  2021-05-31       Impact factor: 2.524

7.  CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals.

Authors:  David Mayor; Deepak Panday; Hari Kala Kandel; Tony Steffert; Duncan Banks
Journal:  Entropy (Basel)       Date:  2021-03-08       Impact factor: 2.524

  7 in total

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