3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG

Abstract Congenital heart disease (CHD) is a leading cause of infant death. To diagnose CHD, recordings from abdominal fetal electrocardiograms (fECG) can be used as non-invasive tool. However, it challenging to extract the signal fECG partly due lack data combining with ground truth for signal, which obtained by using scalp electrode during delivery. In this study, we present computational model pregnant female torso, in simulate and maternal ventricular excitation sinus rhythm derive fECGs, so enable isolated measurement contributions. contribution combined apply an adaptive filtering algorithm wavelet transformed signals. Further development may improvements recording processing capabilities reliable estimation rates, possibly interpretation morphologies that could improve overall diagnostic significance fECGs.