Ansourian M N, Dripps J H, Beattie G J, Boddy K
IEEE Trans Biomed Eng. 1989 Nov;36(11):1076-84. doi: 10.1109/10.40814.
Fetal breathing movement (FBM) in utero may be an indicator of fetal health. This paper provides a second-by-second estimate of FBM rate. In the absence of a statistical model for the fetal breathing movement, block data structured autoregressive spectral estimation is used. The optimum tapered Burg algorithm provides a minimum variance breathing rate estimate from a short block of data. The data were recorded using a PVDF (PolyVinyliDeneFluoride) transducer which picks up maternal abdominal wall movements. A peak tracking algorithm is used to extract the fetal breathing rate. Results from these signals are presented in graphical form. Further analysis of the fetal breathing rate has revealed periodicities, similar to that observed in the fetal heart rate.
子宫内的胎儿呼吸运动（FBM）可能是胎儿健康的一个指标。本文提供了胎儿呼吸运动频率的逐秒估计值。在缺乏胎儿呼吸运动统计模型的情况下，使用了块数据结构化自回归谱估计。最优锥形伯格算法可从短数据块中提供最小方差呼吸频率估计值。数据是使用聚偏二氟乙烯（PVDF）换能器记录的，该换能器可检测孕妇腹壁运动。使用峰值跟踪算法提取胎儿呼吸频率。这些信号的结果以图形形式呈现。对胎儿呼吸频率的进一步分析揭示了周期性，类似于在胎儿心率中观察到的周期性。
