We have developed deep learning models for automatic identification of the maternal heart
rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) recordings. The …

Monitoring the fetal heart rate (FHR) is common practice in obstetric care to assess the risk
of fetal compromise. Unfortunately, human interpretation of FHR recordings is subject to inter …

Background Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to
evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation …

Long-term fetal heart rate (FHR) monitoring during the antepartum period, increasingly
popularized by electronic FHR monitoring, represents a growing approach in FHR …

Objective Traditional methods face challenges in accurately analyzing fetal heart rate (FHR)
signals due to the complexity of accelerations and decelerations (Acc/Dec) and their cyclic …

Objective: This study investigates the efficacy of analyzing fetal heart rate (FHR) signals
based on Artificial Intelligence to obtain a baseline calculation and identify accelerations …

Cardiotocography (CTG) comprises fetal heart rate (FHR) and uterine contraction (UC)
signals that are simultaneously recorded. In clinical practice, a visual examination is …

Fetal heart rate (FHR) monitoring has been widely applied to assess the status of fetus
during pregnancy and labor in clinical practice. However the traditional way to analyze FHR …

Longitudinal fetal health monitoring is essential for high-risk pregnancies. Heart rate and
heart rate variability are prime indicators of fetal health. In this work, we implemented two …

Fetal electrocardiography is a valuable alternative to standard fetal monitoring. Suppression
of the maternal electrocardiogram (ECG) in the abdominal measurements, results in fetal …