Non-invasive extraction of fetal electrocardiogram using fast independent component analysis technique

D. Shehada, A. Khandoker
{"title":"Non-invasive extraction of fetal electrocardiogram using fast independent component analysis technique","authors":"D. Shehada, A. Khandoker","doi":"10.1109/MECBME.2014.6783275","DOIUrl":null,"url":null,"abstract":"Fetal electrocardiogram (fECG) provides clinically important information concerning the electrophysiological state of a fetus. The fECG contains activity of electrical depolarization and repolarization of fetal heart. In this paper a technique is proposed called Fast Independent Component Analysis (Fast ICA) to extract the fECG signals from the 20 sets of abdominal ECG signals. Using Fast ICA, 91.4% R peaks of fECG signals were extracted as validated by the direct fECG R peaks measured from scalp. The mother electrocardiogram (mECG) is extracted from the four channel abdominal ECGs, canceled and then the fECG is extracted. Bland Altman and correlation calculations showed no significant difference between the extracted fECG and direct fECG RR intervals. The correlation coefficient ρ was 0.84 and the p value was 0.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd Middle East Conference on Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECBME.2014.6783275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Fetal electrocardiogram (fECG) provides clinically important information concerning the electrophysiological state of a fetus. The fECG contains activity of electrical depolarization and repolarization of fetal heart. In this paper a technique is proposed called Fast Independent Component Analysis (Fast ICA) to extract the fECG signals from the 20 sets of abdominal ECG signals. Using Fast ICA, 91.4% R peaks of fECG signals were extracted as validated by the direct fECG R peaks measured from scalp. The mother electrocardiogram (mECG) is extracted from the four channel abdominal ECGs, canceled and then the fECG is extracted. Bland Altman and correlation calculations showed no significant difference between the extracted fECG and direct fECG RR intervals. The correlation coefficient ρ was 0.84 and the p value was 0.
利用快速独立成分分析技术无创提取胎儿心电图
胎儿心电图(fECG)提供有关胎儿电生理状态的重要临床信息。胎儿心电去极化和复极化活动。本文提出了一种快速独立分量分析(Fast ICA)技术,用于从20组腹部心电信号中提取心电图信号。使用Fast ICA,提取了91.4%的fECG信号R峰,与直接从头皮测得的fECG R峰相吻合。从四通道腹部心电图中提取母体心电图(mECG),取消,然后提取fECG。Bland Altman和相关计算显示,提取的fECG和直接的fECG RR区间没有显著差异。相关系数ρ为0.84,p值为0。
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