Fetal ECG Extraction for Fetal Monitoring Using SWRLS Adaptive Filter

P. Sunita, G. Prathibha

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. This paper presents simulation results of fetal ECG signal after removing noise by sliding window RLS adaptive filter. From this obtained fetal ECG signal we can find the abnormalities by R-R peak detection and care will be taken by the respective physician.

Keywords: Fetal ECG, Maternal ECG, Adaptive filter, Recursive least square algorithm, Sliding window RLS algorithm