Haritopoulos Michel, Capdessus Cécile, Nandi Asoke K
Institut PRISME, 21, rue de Loigny la Bataille, 28000, Chartres, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1910-3. doi: 10.1109/IEMBS.2010.5627304.
This work proposes a novel foetal electrocardiogram (FECG) extraction approach based on the cyclostationary properties of the signal of interest. The problem of FECG extraction can easily fit in a blind source separation (BSS) framework; taking into account specific statistical nature of the signal, that one wants to extract, leads to an algorithm able to estimate the FECG contribution to ECG recordings where the maternal ECG is predominant. We show that the proposed procedure provides estimates of the FECGs PQRST complexes without incorporating any prior knowledge concerning PQRST features. Discussions about foetal heart rate variability (HRV) estimation and future works conclude this paper.
这项工作提出了一种基于感兴趣信号的循环平稳特性的新型胎儿心电图（FECG）提取方法。FECG提取问题很容易适用于盲源分离（BSS）框架；考虑到想要提取的信号的特定统计特性，会产生一种算法，该算法能够估计在母体心电图占主导的心电图记录中FECG的贡献。我们表明，所提出的程序在不纳入任何有关PQRST特征的先验知识的情况下，能够提供FECG的PQRST复合波的估计值。关于胎儿心率变异性（HRV）估计的讨论以及未来工作在本文中进行了总结。
