@inproceedings {43140,
	title = {Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model},
	journal = {Computing in Cardiology},
	volume = {49},
	year = {2023},
	publisher = {Computing in Cardiology},
	address = {Computing in Cardiology},
	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.},
	keywords = {Non-invasive fetal electrocardiogram},
	issn = {2325-887X},
	doi = {10.22489/CinC.2022.136},
	url = {https://cinc.org/archives/2022/pdf/CinC2022-136.pdf},
	author = {Julie Johanne {Uv} and Arevalo, Hermenegild}
}
