Utilizing Time-Scale Image Analysis for the Identification of Fetal ECG

This paper investigates the separation of fetal heart electrocardiogram signals into multiple sources using a segmentation method. The method effectively separates and transforms energy subdomains, resulting in multiple time-scale images. The method filters noise and undesirable interference, allowing optimal fetal contribution extraction. The algorithms yield numerical results, demonstrating their effectiveness in internationally recognized databases. FRPDA values demonstrate the effectiveness of techniques in isolating fetal cardiac output (FECG) signals from noise and unwanted components, thereby improving the analysis and interpretation of fetal cardiac health.