AuthorsJ. J. Uv and H. Arevalo
TitleElectrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model
AfilliationScientific Computing
Project(s)Department of Computational Physiology, No Simula project
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2023
Conference NameComputing in Cardiology
Volume49
PublisherComputing in Cardiology
Place PublishedComputing in Cardiology
ISSN Number2325-887X
KeywordsNon-invasive fetal electrocardiogram
Abstract

Congenital heart disease (CHD) is a leading cause of infant death. To diagnose CHD, recordings from abdomi- nal fetal electrocardiograms (fECG) can be used as a non- invasive tool. However, it is challenging to extract the fetal signal from fECG recordings partly due to the lack of data combining fECG recordings with a ground truth for the fetal signal, which can be obtained by using a scalp elec- trode during delivery. In this study, we present a computa- tional model of a pregnant female torso, in which we simu- late fetal and maternal ventricular excitation during sinus rhythm to derive fECGs, so as to enable isolated measure- ment of the fetal and maternal signal contributions.

URLhttps://cinc.org/archives/2022/pdf/CinC2022-136.pdf
DOI10.22489/CinC.2022.136
Citation Key43140

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