Non-adaptive signal processing methods have been successfully applied to extract fetal
electrocardiograms (fECGs) from maternal abdominal electrocardiograms (aECGs); and …

This paper is focused on the design, implementation and verification of a novel method for
the optimization of the control parameters (such as step size μ and filter order N) of LMS and …

Atrial fibrillation (AF) is a serious heart arrhythmia leading to a significant increase of the risk
for occurrence of ischemic stroke. Clinically, the AF episode is recognized in an …

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

CTG (Cardiotocography) is an effective tool for fetal status assessment. Clinically, doctors
mainly evaluate the health of fetus by observing FHR (fetal heart rate). The rapid …

Great expectations are connected with application of indirect fetal electrocardiography
(FECG), especially for home telemonitoring of pregnancy. Evaluation of fetal heart rate …

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 …

Automatic baseline determination is crucial for reducing the occurrence of fetal acidosis in
clinical practice. However, there is a nonnegligible gap between the results of automatic …

Background Automated fetal heart rate (FHR) analysis removes inter-and intra-expert
variability, and is a promising solution for reducing the occurrence of fetal acidosis and the …