Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and
is widely used during labor as a screening tool to determine fetal wellbeing. The visual …

The analysis of fetal heart rate variability has served as a scientific and diagnostic tool to
quantify cardiac activity fluctuations, being good indicators of fetal well-being. Many …

Background Cardiotocography (CTG) signal abnormality classification plays an important
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …

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 …

Introduction Cardiotocography, which consists in monitoring the fetal heart rate as well as
uterine activity, is widely used in clinical practice to assess fetal wellbeing during labor and …

Objective According to guidelines on electronic fetal heart rate (FHR) monitoring, visual FHR
interpretation by obstetricians depends on the recognition of patterns (mainly including …

Monitoring the heart rate of a fetus is the only method for continuously monitoring fetal well-
being during labour. Decelerations in the fetal heart rate, usually corresponding with …

The rapid advancement of deep neural networks (DNNs) has significantly transformed
various sectors, demonstrating unparalleled proficiency in managing intricate tasks in …

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 …

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 …