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根据临床经验，将产程进展、胎儿心率和宫缩状况作为调控依据，对计划分娩中催产素滴注过程采用自适应模糊控制方法，实现：①自动识别三种异常情况并作应急处理；②对不同产程分期（潜伏／活跃期）自动改变宫缩时间间隔量化曲线；③以表格查询学习法控制催产素滴速。从实录的催产素计划分娩过程胎心宫缩图（ＣＴＧ）数据中，随机抽取６１组数据作模拟实验，结果：控制器的输入－输出关系与临床的实际记录符合率是９６．７％。
Based on clinical experience, the progress of labor, fetal heart rate and uterine contractions as the basis for regulation, the planned delivery of oxytocin infusion process using adaptive fuzzy control method to achieve: ① automatically identify the three anomalies and emergency treatment; ② pairs Different stages of labor (latent / active period) automatically change the quantification of contractions time interval curve; ③ table query learning method to control oxytocin drip rate. 61 sets of data were randomly selected from the fetus uterine contractions (CTG) data of real-time oxytocin planned delivery process. The results showed that the coincidence rate of controller input-output relationship with clinical actual records was 96.7%.