Department of Biomedical Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.
Comput Biol Med. 2012 Feb;42(2):171-9. doi: 10.1016/j.compbiomed.2011.11.005. Epub 2011 Dec 12.
Fetal Heart Rate (FHR) monitoring is one of the most important fetal well being tests. Existing FHR monitoring methods are based on Doppler ultrasound technique, which has several disadvantages. Passive fetal monitoring by phonocardiography is an appropriate alternative; however, its implementation is a challenging task due to low energy of fetal heart sounds and multiple interference signals presence. In this paper, an advanced signal processing method for passive fetal monitoring based on adaptive wavelet denoising is presented. The method's performance is compared with Doppler ultrasound monitor. The results show 94-97.5% accuracy, including highly disturbed cases.
胎儿心率（FHR）监测是最重要的胎儿健康测试之一。现有的 FHR 监测方法基于多普勒超声技术，该技术有几个缺点。通过心音图进行被动胎儿监测是一种合适的替代方法；然而，由于胎儿心音能量低和存在多种干扰信号，其实现是一项具有挑战性的任务。在本文中，提出了一种基于自适应小波去噪的被动胎儿监测的先进信号处理方法。将该方法的性能与多普勒超声监测器进行了比较。结果表明，准确率为 94-97.5%，包括高度干扰的情况。
