Characterizing fetal sympatho-vagal balance through multivariate time-varying autoregressive modeling of magnetocardiographic data

Abstract

Event Abstract Back to Event Characterizing fetal sympatho-vagal balance through multivariate time-varying autoregressive modeling of magnetocardiographic data D. Gutiérrez1*, F M García-Guevara1, I Kiefer2, R. Draganova2 and H Preissl2 1 Centro de Investigación y de Estudios Avanzados, Mexico 2 MEG-Center, Germany We propose a method to analyze fetal beat-to-beat heart rate variability (HRV) obtained from magnetocardiographic (MCG) measurements at different times of gestation using a multivariate time-varying autoregressive (MTVAR) model. Our approach is based on treating a group of HRV signals from a single fetus and measured at different gestational periods as a dynamical system, from which we obtain a suitable MTVAR model. This kind of autoregressive model has been previously found useful to study the dynamics of multichannel data associated to brain activity. Then, changes in the values of the coefficients of the MTVAR model obtained from the HRV signals can be associated to changes in fetal sympatho-vagal balance. Therefore, in this paper we propose to characterize the variations in the sympatho-vagal balance at specific gestational period by comparing the dynamics of the MTVAR coefficients to the SDNN/RMSSD ratio, which is known to be a potential marker for sympatho-vagal balance. Furthermore, an overall behavior of the sympatho-vagal balance during the gestation (or at least over the weeks when measurements were acquired) could be estimated from the average values of the MTVAR coefficients by comparing them to the tendencies obtained through the classical analysis of the different frequency bands in the HRV signal. In order to demonstrate the applicability of the proposed modeling approach, real magnetocardiographic data from healthy fetuses is analyzed. Preliminary results show that the MTVAR model is able to mimic the sympatho-vagal development reported in the literature, and the results also show consistency independently of the number of gestational periods used in the analysis. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: Fetal and neonatal biomagnetism Citation: Gutiérrez D, García-Guevara F, Kiefer I, Draganova R and Preissl H (2010). Characterizing fetal sympatho-vagal balance through multivariate time-varying autoregressive modeling of magnetocardiographic data. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00135 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 25 Mar 2010; Published Online: 25 Mar 2010. * Correspondence: D. Gutiérrez, Centro de Investigación y de Estudios Avanzados, Apodaca, Mexico, dgtz@ieee.org Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers D. Gutiérrez F M García-Guevara I Kiefer R. Draganova H Preissl Google D. Gutiérrez F M García-Guevara I Kiefer R. Draganova H Preissl Google Scholar D. Gutiérrez F M García-Guevara I Kiefer R. Draganova H Preissl PubMed D. Gutiérrez F M García-Guevara I Kiefer R. Draganova H Preissl Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.