基于奇异值分解的非侵入式单通道胎儿腹部心电图监护仪

R. Rodríguez, Ruby Jane A. Mapolon, R. Reyes
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引用次数: 0

摘要

该国的产妇死亡率为每10万活产100例产妇死亡,低于每10万活产70例产妇死亡的可持续发展全球目标。目前用于监测胎儿健康的设备位于大医院,偏远地区的人无法使用。本研究采用MAX-ECG-MONITOR,一种用于采集心电信号的设备,开发胎儿心电图(fECG)监测系统的移动应用程序。采集到的信号首先通过奇异值分解进行处理。信号处理包括三个基本步骤:估计母体心电图(mECG),从波形中减去母体分量,从剩余信号中提取fECG。利用胎儿心电提取算法的测试框架对信号处理进行了验证。该程序显示,对于有噪声和无噪声的信号,准确率都在90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Non-intrusive Single Channel Abdominal Fetal Electrocardiogram Monitor Using Singular Value Decomposition
The maternal mortality rate (MMR) in the country is at 100 maternal deaths per 100,000 live births, which falls short from the Sustainable Development global goal of 70 maternal deaths per 100,000 live births. Current devices used to monitor fetal health are stationed at big hospitals, inaccessible to those living in remote areas. In this study, MAX-ECG-MONITOR, a device for collecting ECG signals, was used to develop a mobile application for fetal electrocardiogram (fECG) monitoring system. The signals gathered will be processed first through Singular Value Decomposition. The signal processing consists of three fundamental steps: estimation of maternal electrocardiogram (mECG), subtraction of maternal component from the waveforms, and extraction of fECG from the remaining signal. The signal processing was validated using a testing framework for the fetal ECG extraction algorithm. The program showed accuracy above 90 percent for signals with and without noise.
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