This project focuses on the development of a fetal phonocardiography signal analysis system for monitoring fetal health. Using signal processing and machine learning techniques, the goal is to extract relevant information from the signals, classify heart sounds, and determine the fetal heart rate.

Researchers: Dr . Ernesto Moya Albor and Dr. Jorge Brieva Rico.