Nowadays, in order to reduce the intra -and inter-observer disagreements and improve the CTG interpretation, much effort has been made on improving the clinical guidelines for CTG interpretation and on providing support to clinicians using expert systems and advanced signal processing algorithms. However, these efforts do not show clear evidence on improving the estimation of fetal acidemia.
In this context, we propose to develop a welfare state model for fetal condition estimation during labor and delivery based on the observations of FHR and UC signals. The main idea is to design a state model of clinical guidelines. This model will allow to connect proposed CTG guidelines with FHR signal features by using standard and advanced signal processing and classification techniques.