Extracting the Electrocardiogram (ECG) of a fetus from the ECG signal of the maternal
abdomen is a challenging task due to different artifacts. The paper proposes a-tap non …

Capturing signals without noise and interference while monitoring the maternal abdomen's
fetal electrocardiogram (FECG) is a challenging task. This method can provide fetal …

Monitoring the fetal cardiac activity during pregnancy is of crucial importance for evaluating
fetus health. However, there is a lack of automatic and reliable methods for Fetal ECG …

The aim of this paper is to model the algorithm for Fetal ECG (FECG) extraction from
composite abdominal ECG (AECG) using VHDL (Very High Speed Integrated Circuit …

In this Letter, the field programmable gate array (FPGA) implementation of a foetal heart rate
(FHR) monitoring system is presented. The system comprises a preprocessing unit to …

This article presents an innovative approach to analyzing and extracting electrocardiogram
(ECG) signals from the abdomen and thorax of pregnant women, with the primary goal of …

In this paper, we present the implementation of the Infomax algorithm on a computing unit
featuring a typical embedded processor of the ARM family and a second partial execution on …

Importance of fetal monitoring is undisputed during pregnancy. Fetal electrocardiography
(fECG) is preferred over Doppler ultrasound for its ease of use and continuous monitoring …

Artificial neural network (ANN), an established bio-inspired computing paradigm, has proved
very effective in a variety of real-world problems and particularly useful for various emerging …

In this study, the low-cost So and Chan (SC) detection method for body area network is
combined with the moving average and distance calculation methods for detecting R-waves …