Research Repository

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.' Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 29 - 32. ISSN 1557-170X

Full text not available from this repository.

Abstract

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
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 06 Mar 2014 10:29
Last Modified: 05 Feb 2019 19:15
URI: http://repository.essex.ac.uk/id/eprint/8824

Actions (login required)

View Item View Item