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Estimation of Instantaneous Complex Dynamics through Lyapunov Exponents: A Study on Heartbeat Dynamics

Author(s)
Valenza, Gaetano; Citi, Luca; Barbieri, Riccardo
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Abstract
Measures of nonlinearity and complexity, and in particular the study of Lyapunov exponents, have been increasingly used to characterize dynamical properties of a wide range of biological nonlinear systems, including cardiovascular control. In this work, we present a novel methodology able to effectively estimate the Lyapunov spectrum of a series of stochastic events in an instantaneous fashion. The paradigm relies on a novel point-process high-order nonlinear model of the event series dynamics. The long-term information is taken into account by expanding the linear, quadratic, and cubic Wiener-Volterra kernels with the orthonormal Laguerre basis functions. Applications to synthetic data such as the Hénon map and Rössler attractor, as well as two experimental heartbeat interval datasets (i.e., healthy subjects undergoing postural changes and patients with severe cardiac heart failure), focus on estimation and tracking of the Instantaneous Dominant Lyapunov Exponent (IDLE). The novel cardiovascular assessment demonstrates that our method is able to effectively and instantaneously track the nonlinear autonomic control dynamics, allowing for complexity variability estimations.
Date issued
2014-08
URI
http://hdl.handle.net/1721.1/91000
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
Valenza, Gaetano, Luca Citi, and Riccardo Barbieri. “Estimation of Instantaneous Complex Dynamics through Lyapunov Exponents: A Study on Heartbeat Dynamics.” Edited by Ramesh Balasubramaniam. PLoS ONE 9, no. 8 (August 29, 2014): e105622.
Version: Final published version
ISSN
1932-6203

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