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Assessing instantaneous QT variability dynamics within a point-process nonlinear framework

Valenza, G and Orini, M and Citi, L and Minchole, A and Pueyo, E and Laguna, P and Barbieri, R (2014) Assessing instantaneous QT variability dynamics within a point-process nonlinear framework. In: UNSPECIFIED, ? - ?.

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Abstract

The importance of cardiac repolarization dynamics in promoting arrhythmic events is widely recognized. To this extent, mathematical modeling and signal processing have played an important role in providing effective measures related to cardiac and autonomic nervous system dynamics. In this study, we introduce an instantaneous assessment of QT variability indices using a point-process nonlinear framework. The analysis includes computation of the dynamical spectrum and bispectrum, as well as time domain features, from data gathered from healthy subjects undergoing a tilt test trial. We demonstrate that an inverse-Gaussian probability function effectively predicts the current QT interval given a nonlinear combination of the past QT intervals modeled through the Laguerre expansion of the Wiener-Volterra terms. Results also show that our approach is able to provide an accurate instantaneous characterization of ventricular repolarization dynamics during changes with posture. © 2014 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Luca Citi
Date Deposited: 23 Jan 2015 12:13
Last Modified: 17 Aug 2017 17:41
URI: http://repository.essex.ac.uk/id/eprint/12351

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