A Non-intrusive Single Channel Abdominal Fetal Electrocardiogram Monitor Using Singular Value Decomposition

R. Rodríguez, Ruby Jane A. Mapolon, R. Reyes
{"title":"A Non-intrusive Single Channel Abdominal Fetal Electrocardiogram Monitor Using Singular Value Decomposition","authors":"R. Rodríguez, Ruby Jane A. Mapolon, R. Reyes","doi":"10.1109/ICECIE52348.2021.9664665","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECIE52348.2021.9664665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
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
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信