| Authors | J. J. Uv and H. Arevalo |
| Title | Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model |
| Afilliation | Scientific Computing |
| Project(s) | Department of Computational Physiology, No Simula project |
| Status | Published |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | Computing in Cardiology |
| Volume | 49 |
| Publisher | Computing in Cardiology |
| Place Published | Computing in Cardiology |
| ISSN Number | 2325-887X |
| Keywords | Non-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. |
| URL | https://cinc.org/archives/2022/pdf/CinC2022-136.pdf |
| DOI | 10.22489/CinC.2022.136 |
| Citation Key | 43140 |
