Abstract
FECG (Fetal ECG) signal contains potentially precise information that could assist clinicians in making more appro-priate and timely decisions during pregnancy and labor. The extraction and detection of the FECG signal from com-posite maternal abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this paper is to illustrate the developed algorithms on FECG signal extraction from the abdominal ECG signal using Neural Network approach to provide efficient and effective ways of separating and understanding the FECG signal and its nature. The FECG signal was isolated from the abdominal signal by neural network approach with different learning constant value and momentum as well so that acceptable signal can be con-sidered. According to the output it can be said that the algorithm is working satisfactory on high learning rate and low momentum value. The method appears to be exceedingly robust, correctly isolate the FECG signal from abdominal ECG.
Highlights
Fetal Heart Rate (FHR) analysis has become a widely accepted means of monitoring fetal status
The FECG signal was isolated from the abdominal signal by neural network approach with different learning constant value and momentum as well so that acceptable signal can be considered
According to the output it can be said that the algorithm is working satisfactory on high learning rate and low momentum value
Summary
Fetal Heart Rate (FHR) analysis has become a widely accepted means of monitoring fetal status. The use of Doppler ultrasound (non invasive manner) is not suitable for long periods of fetal heart rate monitoring [1]. Methods utilizing the abdominal electrocardiogram (AECG) have a greater prospect for long-term monitoring of FHR and fetal well being using signal processing techniques [2]. The fetal ECG contains potentially valuable information that could assist clinicians in making more appropriate and timely decisions during labour, but the FECG signal is vulnerable to noise and difficulty of processing it accurately without significant distortion has impeded its use [4]. The abdominal ECG contains a weak fetal ECG signal, a relatively sound maternal ECG, maternal muscle noise (electromyographic activity in the muscles of the abdomen and uterus) and respiration, mains coupling, and thermal noise from the electronic equipment (electrodes, amplifiers, etc.), power line interference (A/C) and Baseline Wandering (BW). The signal processing algorithm needs to remove the maternal ECG complexes, reduce the effects of motion artifact, muscle noise and power line interface and enhance the fetal QRS complexes before
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