• R.BALAJI
• A.JABA DEVA KRUPA
• DHANALAKSHMI SAMIAPPAN

Electrocardiography is the measure of the electrical signal activity of heart. Any Heart abnormalities can be easily identified through the Electrocardiography. Fetal Electrocardiogram is used to analyze fetal heart beat and its health during the pre-natal period. Fetal Electrocardiogram is measured from Abdominal Electrocardiogram which is a composite signal consisting of both Maternal Electrocardiogram signal and Fetal Electrocardiogram signal recorded from Abdomen of mother. Millions of Still Birth occur every year because of Fetal Heart Defect. Many Methods like ICA and PCA methods are there but they were not useful in identifying the cardiac abnormalities and morphological characteristics of Electrocardiogram. Hence we propose a method for Fetal Electrocardiogram extraction using Extended Kalman Filter. In this method we are applying Fourier transform(FT) for removing Baseline Wander noise(BWN) and scanning window method for R-Peak detection of maternal Electrocardiogram signal. Differential Evolution(DE) algorithm for estimation of optimum parameters and Extended Kalman Filter(EKF) Framework for extraction of Fetal Electrocardiogram.

Fourier Transform(FT), Baseline Wander Noise(BWN),Scanning Window(SW) for R-peak detection,(DE)Differential Evolution algorithm for parameter estimation using Extended Kalman Filter(EKF).

"FETAL ECG EXTRACTION USING EXTENDED KALMAN FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.319-322, April-2019, Available :http://www.jetir.org/papers/JETIRBF06061.pdf

"FETAL ECG EXTRACTION USING EXTENDED KALMAN FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp319-322, April-2019, Available at : http://www.jetir.org/papers/JETIRBF06061.pdf