Please use this identifier to cite or link to this item: https://repositorio.udes.edu.co/handle/001/3212
Title: Complexity Variability Assessment of Nonlinear Time-Varying Cardiovascular Control
Authors: García, Ronald G.
Citi, Luca
NoggleTaylor, Jessica
Toschi, Nicola
Barbieri, Riccardo
Valenza, Gaetano
Issue Date: 20-Feb-2017
Abstract: The application of complex systems theory to physiology and medicine has provided meaningful information about the nonlinear aspects underlying the dynamics of a wide range of biological processes and their disease-related aberrations. However, no studies have investigated whether meaningful information can be extracted by quantifying second-order moments of time-varying cardiovascular complexity. To this extent, we introduce a novel mathematical framework termed complexity variability, in which the variance of instantaneous Lyapunov spectra estimated over time serves as a reference quantifier. We apply the proposed methodology to four exemplary studies involving disorders which stem from cardiology, neurology and psychiatry: Congestive Heart Failure (CHF), Major Depression Disorder (MDD), Parkinson’s Disease (PD), and Post-Traumatic Stress Disorder (PTSD) patients with insomnia under a yoga training regime. We show that complexity assessments derived from simple time-averaging are not able to discern pathology-related changes in autonomic control, and we demonstrate that between-group differences in measures of complexity variability are consistent across pathologies. Pathological states such as CHF, MDD, and PD are associated with an increased complexity variability when compared to healthy controls, whereas wellbeing derived from yoga in PTSD is associated with lower time-variance of complexity.
Description: 15 p
URI: http://repositorio.udes.edu.co/handle/001/3212
ISSN: 2045-2322
Appears in Collections:DCAGA. Artículos de Investigación

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