Detection of normal and pathological fetal states by means of neural and fuzzy classifiers applied to CTG parameters

One neural and one fuzzy classifier are proposed to discriminate among normal and pathological fetal conditions during pregnancy. Both classifiers are based on linear and nonlinear indexes extracted from cardiotocographic fetal monitoring. Results low very promising performance on the set of collected fetal heart rate signals.