@misc{17028,
  keywords = {Non-invasive fetal electrocardiogram},
  author = {Julie Uv and Hermenegild Arevalo},
  title = {Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model},
  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.},
  year = {2022},
  journal = {Computing in Cardiology},
  volume = {49},
  publisher = {IEEE},
  issn = {2325-887X},
  url = {https://cinc.org/archives/2022/pdf/CinC2022-136.pdf},
  doi = {10.22489/CinC.2022.136},
}