RT Journal Article
T1 Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states.
T2 Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states.
A1 Faes, Luca
A1 Gómez Extremera, Manuel
A1 Pernice, Riccardo
A1 Carpena-Sánchez, Pedro Juan
A1 Nollo, Giandomenico
A1 Porta, Alberto
A1 Bernaola-Galván, Pedro Ángel
K1 Pulso cardíaco - Modelos matemáticos
K1 Sistemas no lineales
AB Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV) analysis, the presence and the extent to which nonlineardynamics contribute to short-term HRV are still controversial. This work aims at testing the hypothesis that different types of nonlinearity can beobserved 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 correlationsin a time series (Gaussian linear contrast, GLC), are applied to short HRV recordings obtained in young (Y) and old (O) healthy subjects andin myocardial infarction (MI) patients monitored in the resting supine position and in the upright position reached through head-up tilt. Themethod of surrogate data is employed to detect the presence and quantify the contribution of nonlinear dynamics to HRV. We find that thethree 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 duringtilt. The strength of nonlinear dynamics is reduced by tilt using all measures in Y, while only GLC detects a significant strengthening of suchdynamics in MI. A large percentage of detected nonlinear dynamics is revealed only by the IS measure in the Y group at rest, with a decreasein O and MI and during T, while NCI and GLC detect lower percentages in all groups and conditions. While these results suggest that distinctdynamic structures may lie beneath short-term HRV in different physiological states and pathological conditions, the strong dependence onthe measure adopted and on their implementation suggests that physiological interpretations should be provided with caution.
PB American Institute of Physics
YR 2019
FD 2019-12-12
LK https://hdl.handle.net/10630/29915
UL https://hdl.handle.net/10630/29915
LA eng
NO Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/9866?template=romeo
NO PRIN (Progetti di Ricerca di Interesse Nazionale) 2017, Ministero dell’Istruzione,dell’Università e della Ricerca (MIUR), PRJ-0167, “Stochastic fore-casting in complex systems”, University of Palermo, Italy. P.C. andP.B.-G. acknowledge financial support 868 by the Consejería deConocimiento, Investigación y Universidad, 869 Junta de Andalucía,and the European Regional Development Fund 870 (ERDF), Ref.Nos. SOMM17/6105/UGR, FQM-362, and FQM-7964.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026