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A new study conducted by researchers at the Faculty of Electrical Engineering & Computer Science in Ostrava, Czech Republic, explores the use of fetal phonocardiography as an alternative to cardiotocography for monitoring fetal heart rate and uterine contractions. The study presents an automatic method for segmenting fetal heart sounds in a phonocardiographic signal, which is loaded with different types of disturbances. The researchers propose a hybrid classifier based on Transformer and eXtreme Gradient Boosting (XGBoost) to improve segmentation performance. The proposed method shows effective and promising performance, ranking first among all compared algorithms in precision, recall, F1, and accuracy scores. [Extracted from the article]