Enhancement of twins fetal ECG signal extraction based on hybrid blind extraction techniques

Abstract EN

ECG machines are noninvasive system used to measure the heartbeat signal.

It’s very important to monitor the fetus ECG signals during pregnancy to check the heat activity and to detect any problem early before born, therefore the monitoring of ECG signals have clinical significance and importance.

For multi-fetal pregnancy case the classical filtering algorithms are not sufficient to separate the ECG signals between mother and fetal.

In this paper the mixture consists of mixing from three ECG signals, the first signal is the mother ECG (M-ECG) signal, second signal the Fetal-1 ECG (F1-ECG), and third signal is the Fetal-2 ECG (F2-ECG), these signals are extracted based on modified blind source extraction (BSE) techniques.

The proposed work based on hybridization between two BSE techniques to ensure that the extracted signals separated well.

The results demonstrate that the proposed work very efficiently to extract the useful ECG signals.