Cesarelli M, Romano M, Bifulco P, Fedele F, Bracale M
Department of Electronic Engineering and Telecommunications, Biomedical Engineering Unit, University of Naples "Federico II", via Claudio 21, 80125 Naples, Italy.
Comput Biol Med. 2007 May;37(5):663-9. doi: 10.1016/j.compbiomed.2006.06.003. Epub 2006 Aug 7.
Cardiotocography (simultaneous recording of fetal heart rate (FHR) and uterine contractions) is one of the most used diagnostic techniques to evaluate fetal well-being and to investigate the functional state of the fetal autonomic nervous system. Recently, great interest has been paid to the variability of the FHR, and its frequency analysis, as a base for a more objective analysis of the cardiotocographic (CTG) tracings. FHR signals are unevenly sampled series. To obtain evenly sampled series, cardiotocographs often use zero-order interpolation. Such process is simple and fast but results unsuitable for frequency analyses because it introduces alterations in the FHR power spectrum. An algorithm for the recovery of the true FHR series out of the zero-order interpolated CTG data was developed and evaluated.
胎心监护(同时记录胎儿心率(FHR)和子宫收缩情况)是评估胎儿健康状况以及研究胎儿自主神经系统功能状态最常用的诊断技术之一。近来,人们对胎儿心率的变异性及其频率分析极为关注,将其作为对胎心监护(CTG)描记图进行更客观分析的基础。胎儿心率信号是不均匀采样序列。为了获得均匀采样序列,胎心监护仪常采用零阶插值法。此过程简单快捷,但由于它会改变胎儿心率的功率谱,因此不适用于频率分析。我们开发并评估了一种从零阶插值的CTG数据中恢复真实胎儿心率序列的算法。