Level evaluation system for cardiotocography

Level evaluation system for real cardiotocography (CTG) data of high risk patients is constructed in order to use the CTG feature as basic data in e-Learning materials. The constructed system consists of two parts, preprocessing of signal data by particle filter and level evaluation by fuzzy inference. For check of the validity, relation between calculated level and cord blood pH are analyzed with the real medical data in Kochi Medical School hospital. The experimental results show that the CTG data of the abnormal delivery situations show high level (correlation coefficient: -0.07). The proposed system provides basic educational materials by extracting signal characteristics like deceleration.