Extraction Methods Of Fetal Ecg From Mother Ecg Signal In Pregnancy

Abstract: Fetal electrocardiogram (Fetal ECG) extraction is an interesting as well as a difficult problem in signal processing. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or noises. Identification of these cases during early pregnancy reduces risks by timely treatment or planned delivery. The non- invasive Fetal ECG (FECG) monitoring by means of abdominal surface electrodes provides valuable information about the cardiac electrical activity of fetus. It is very hard, even not impossible, to reliably extract the FECG from the abdominal signal using traditional techniques. The object of our work is to remove the noises in signals which are occurred due to power line interference, movement of patient etc. The extraction of fetal ECG is founded by Adaptive Noise Canceller, Principal Component Analysis, and Independent Component Analysis method. The procedure is applied to real multi- channel ECG recordings obtained from a pregnant woman. The experimental outcome demonstrates the more robust performance of the blind technique in this important biomedical application. After investigation of the results the ICA approach, proposed by us, has been shown to be superior for the extraction of fetal ECG compared to other methods. We using graphical user interface (GUI) which is a graphical display that enable a user to perform interactive tasks.

Keywords: ANC, Fetal ECG, PCA, ICA, GUI.