Fetal heart rate estimation method based on empirical mode decomposition and multiple signal classification

The invention discloses a fetal heart rate estimation method based on empirical mode decomposition and multiple signal classification, and belongs to the technical field of fetal heart monitoring. The method comprises the following steps: eliminating maternal electrocardio components in three paths of abdominal signals by using a comb filtering method to obtain three paths of signals only containing fetal electrocardio components; calculating a first intrinsic mode function IMF1 of the three paths of maternal abdomen electrocardiosignals by using an empirical mode decomposition algorithm; hilbert transform is adopted to calculate envelope signals H1, H2 and H3 of three paths of IMF1; adding and summing the three envelope signals to obtain a total envelope signal H; estimating the fundamental frequency f of the total envelope signal H by adopting a multiple signal classification method; and calculating the fetal heart rate BPM. According to the method, the fetal electrocardiosignal is converted into a group of