Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous
fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal …

The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart
abnormalities, leading to a significant reduction in infant mortality rate and post-natal …

Monitoring fetal heart rate (FHR) variability plays a fundamental role in fetal state
assessment. Reliable FHR signal can be obtained from an invasive direct fetal …

Advanced signal processing methods are one of the fastest developing scientific and
technical areas of biomedical engineering with increasing usage in current clinical practice …

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 …

This study aimed to find the most suitable combination of adaptive and non-adaptive
methods for extraction of non-invasive fetal electrocardiogram (NI-fECG) using signals …

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 …