Clifford Wavelet Entropy for Fetal ECG Extraction

Analysis of the fetal heart rate during pregnancy is essential for monitoring proper development fetus. Current techniques lack accuracy in and features acquisition, resulting diagnostic medical issues. The challenge lies extraction ECG from mother pregnancy. This approach has advantage being a reliable non-invasive technique. In present paper, wavelet/multiwavelet method proposed to perfectly extract parameters abdominal ECG. first step, due wavelet/mutiwavelet processing, denoising procedure applied separate noised parts denoised ones. signal assumed be mixture both MECG FECG. One well-known measures information processing concept entropy. work, Shannon-type entropy constructed evaluate order/disorder extracted FECG signal. experimental results apply recent class Clifford wavelets Arfaoui, et al. J. Math. Imaging Vis. 2020, 62, 73–97, Acta Appl. 170, 1–35. Additionally, classical Haar–Faber–Schauder are purpose comparison. Two main databases have been applied, DAISY database CinC Challenge 2013 database. achieved over test resulted Se = 100%, PPV 100% peak detection.