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

dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.contributor.authorFaes, Luca
dc.contributor.authorGómez Extremera, Manuel
dc.contributor.authorPernice, Riccardo
dc.contributor.authorCarpena-Sánchez, Pedro Juan
dc.contributor.authorNollo, Giandomenico
dc.contributor.authorPorta, Alberto
dc.contributor.authorBernaola-Galván, Pedro Ángel
dc.date.accessioned2024-02-06T12:31:58Z
dc.date.available2024-02-06T12:31:58Z
dc.date.created2019
dc.date.issued2019-12-12
dc.departamentoFísica Aplicada II
dc.descriptionPolítica de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/9866?template=romeoes_ES
dc.description.abstractDespite 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.es_ES
dc.description.sponsorshipPRIN (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. and P.B.-G. acknowledge financial support 868 by the Consejería de Conocimiento, 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.es_ES
dc.identifier.doi10.1063/1.5115506
dc.identifier.urihttps://hdl.handle.net/10630/29915
dc.language.isoenges_ES
dc.publisherAmerican Institute of Physicses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPulso cardíaco - Modelos matemáticoses_ES
dc.subjectSistemas no linealeses_ES
dc.subject.otherPower spectrum analysises_ES
dc.subject.otherPeriod variabilityes_ES
dc.subject.otherTime serieses_ES
dc.subject.otherApproximate entropyes_ES
dc.subject.otherSurrogate dataes_ES
dc.titleComparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states.es_ES
dc.title.alternativeComparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states.es_ES
dc.typejournal articlees_ES
dc.type.hasVersionAMes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationfc66b6b1-80c9-4370-9948-c7066152db7f
relation.isAuthorOfPublication6c3698b0-3055-4c8a-8b76-6b30a1bb5a11
relation.isAuthorOfPublication.latestForDiscoveryfc66b6b1-80c9-4370-9948-c7066152db7f

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