围产期母亲和胎儿心动周期信号分析

Analyzing Heart Period Signal for Fetus and Pregnant Woman in Perinatal Period

同时分析围产期胎儿和孕妇心动周期信号的数字特征 (混沌和谱特征 )以评价自主神经系统功能。用可视化程序设计的方法实现提取和分析围产期母亲和胎儿心动周期信号。受试者取仰卧位 ,心电信号从置于腹壁下部耻骨联合导联获得。胎儿心电信号用小波分解进行信号预处理。采用本实验室已经完成开发的技术实现心动周期信号数字特征的分析。该系统可以评价胎儿和孕妇的自主神经系统功能 ,特别是分别定量评价交感和副交感神经系统功能 ;该系统还可用以预测胎儿窘迫。胎儿和其它年龄段的心动周期信号数字特征随年龄的变化提示了自主神经系统的发育、成熟和衰老的生理过程 ,基于这一点我们可以寻找抗衰老的方法 ;胎儿的心动周期信号数字特征介于新生儿和成人之间 ,提示胎儿的自主神经系统的调节可能受母体神经内分泌系统的影响。

Analyzing the digital characteristics (chaotic and spectral features) of fetal and pregnant woman's heart period signal (HPS) can assess the autonomic nervous system function. Extracting and analyzing HPS of fetal and pregnant woman in perinatal period were realized by using the method of visual programming. The subjects were in supine position. Electrocardiosignal (ECS) from the leads placed at symphysis pubica to inferior border of abdominal wall was acquired. ECS was preprocessed by wavelet filter. The sophisticated technique developed by our laboratory was used to analyze the digital characteristics of HPS. The system could be used to assess fetal and pregnant woman's autonomic nervous system function, furthermore, sympathetic and parasympathetic nervous function could be evaluated respectively and quantificationally. The system also could be used to prognosticate fetal distress. The digital characteristics of fetal and other age groups' HPS, which vary with age, suggest the physiological process of development, mature and senility of autonomic nervous system; based on it, we could find the way of anti-senility. Some digital parameters of fetal HPS stand between those of newborn and adult, which may imply that fetal autonomic nervous regulation is influenced by mother's nerve and endocrine system.