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Using Laguerre expansion within point-process models of heartbeat dynamics: A comparative study

Valenza, G and Citi, L and Scilingo, EP and Barbieri, R (2012) 'Using Laguerre expansion within point-process models of heartbeat dynamics: A comparative study.' 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012. pp. 29-32. ISSN 1557-170X

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Point-process models have been recognized as a distinguished tool for the instantaneous assessment of heartbeat dynamics. Although not thoroughly linked to the physiology, nonlinear models also yield a more accurate quantification of cardiovascular control dynamics. Here, we propose a Laguerre expansion of the linear and nonlinear Wiener-Volterra kernels in order to account for the nonlinear and non-gaussian information contained in the ECG-derived heartbeat series while using a reduced number of parameters. Within an Inverse-Gaussian probability model, up to quadratic nonlinearities were considered to continuously estimate the dynamic spectrum and bispectrum. Results performed on 10 subjects undergoing a stand-up protocol show that this novel methodology improves on the algorithmic performances and, at the same time, more accurately characterizes sympatho-vagal changes to posture. © 2012 IEEE.

Item Type: Article
Uncontrolled Keywords: Humans; Electrocardiography; Heart Rate; Nonlinear Dynamics; Models, Cardiovascular; Signal Processing, Computer-Assisted; Female; Male
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 06 Mar 2014 10:29
Last Modified: 23 Sep 2022 18:26

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