Heuristic method for heartbeat detection in fetal phonocardiographic signals

This paper presents a heuristics-based, successive approximation method for heartbeat detection in fetal phonocardiographic signals, which takes advantage on some a priori biological knowledge. The algorithm reaches above 90% in terms of accuracy of heart rate identification. It is computationally effective and easily parallelizable. A method for signal qualification is also presented.