Chen Chen-Yu, Chen Ju-Cheng, Yu Chun, Lin Chii-Wann
Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2567-70. doi: 10.1109/IEMBS.2009.5335287.
Cardiotocography (CTG) is a frequently used technique of fetal monitoring to evaluate the well being of the fetus during pregnancy and in labor. The surveillance technique depends on the analysis of characteristic fetal heart rate patterns and uterine contractions. Computerized analyses can mitigate the intra-observer and inter-observer variability of visual CTG recording explanation, decrease the examination time, and the need of additional tests for fetal health. Several studies also showed that the signal processing techniques could help to determine the fetal heart rate (FHR) patterns, but all of them were only suitable for physicians. Following the criteria and consensuses of National Institute of Child Health and Human Development in April 2008, we developed a LabVIEW based FHR and uterine contraction (UC) pattern analysis software. This software has great potential for home-care use. The signal processing methods utilized in this study are median filter and peak/valley detection method. The analysis performance was verified by nineteen pregnant women's data. The accuracy of FHR baseline, baseline variability, early deceleration, UC frequency and NST all reach 100%. The accuracy of acceleration frequency reaches 90%. The accuracy of late and variable decelerations reaches 95%.
胎心监护（CTG）是一种常用的胎儿监测技术，用于评估孕期及分娩过程中胎儿的健康状况。该监测技术依赖于对胎儿心率特征模式和子宫收缩情况的分析。计算机化分析可以减少观察者内和观察者间对视觉CTG记录解释的差异，缩短检查时间，并减少对胎儿健康进行额外检查的需求。多项研究还表明，信号处理技术有助于确定胎儿心率（FHR）模式，但所有这些技术都仅适用于医生。根据2008年4月美国国立儿童健康与人类发展研究所的标准和共识，我们开发了一款基于LabVIEW的FHR和子宫收缩（UC）模式分析软件。该软件在家庭护理方面具有巨大潜力。本研究中使用的信号处理方法是中值滤波和峰谷检测法。通过19名孕妇的数据验证了分析性能。FHR基线、基线变异、早期减速、UC频率和无应激试验（NST）的准确率均达到100%。加速频率的准确率达到90%。晚期减速和变异减速的准确率达到95%。
