Fetal electrocardiography is among the most promising methods of modern electronic fetal
monitoring. However, before they can be fully deployed in the clinical practice as a gold …

Despite the rapid growth in the area of adult ECG signal processing and monitoring systems,
the morphological analysis of fetal ECG signals lags farther behind and demands much …

Automatic heartbeat classification technology based on the ECG plays an important role in
assisting doctors with arrhythmia diagnosis. While many heartbeat classification studies can …

This paper deals with detecting fetal electrocardiogram FECG signals from single-channel
abdominal lead. It is based on the Convolutional Neural Network (CNN) combined with …

Non-invasive fetal electrocardiography appears to be one of the most promising fetal
monitoring techniques during pregnancy and delivery nowadays. This method is based on …

This paper is focused on the design, implementation and verification of a novel method for
the optimization of the control parameters of different hybrid systems used for non-invasive …

Performing a fetal electrocardiogram (ECG) analysis, which contains important information
about the status of a fetal, can help to detect fetus health even before birth. Since the fetal …

Motivated by analyzing complicated time series, nonlinear-type time–frequency analysis has
become an active research topic in the past decades. Those developed tools have been …

Birth defect-related demise is mainly due to congenital heart defects. In the earlier stage of
pregnancy, fetus problem can be identified by finding information about the fetus to avoid …

In this work, we propose a time-varying wave-shape extraction algorithm based on a
modified version of the adaptive non-harmonic model for non-stationary signals. The model …