基于改进盲源分离的双胎心电信号增强分离

Mushtaq Talib, Ali A. Al-bakri, A. K. Abdullah
{"title":"基于改进盲源分离的双胎心电信号增强分离","authors":"Mushtaq Talib, Ali A. Al-bakri, A. K. Abdullah","doi":"10.1109/SICN47020.2019.9019363","DOIUrl":null,"url":null,"abstract":"Electrocardiogram device is used to measure signals that are generated from the heart. It can be classified as a non-surgical device. It is too important to watch fetal heart during gestation because it provides doctor with very useful information to diagnose any defect in fetuses heart before birth. Many techniques are used for isolating fetal ECG from his mother ECG and noise like filters and blind source separation. The main problem is how to extract fetal ECG when a mother has twins. In this case, the isolation between fetuses ECG will be complicated because, both fetus ECG signals will have the same features. In this paper, a combination of blind source separation and band pass filter has been implemented. The obtained results by the suggested method records higher values of SNR than the other blind source separation (BSS), which are “STONE, JADE, and FICA” without using a filter. The effectiveness of the proposed method is checked by the measured signal to noise ratio (SNR) for each signal.","PeriodicalId":179575,"journal":{"name":"2019 4th Scientific International Conference Najaf (SICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enhancement Separation of ECG Signals for Twin Fetuses Based on Modified Blind Source Separation\",\"authors\":\"Mushtaq Talib, Ali A. Al-bakri, A. K. Abdullah\",\"doi\":\"10.1109/SICN47020.2019.9019363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electrocardiogram device is used to measure signals that are generated from the heart. It can be classified as a non-surgical device. It is too important to watch fetal heart during gestation because it provides doctor with very useful information to diagnose any defect in fetuses heart before birth. Many techniques are used for isolating fetal ECG from his mother ECG and noise like filters and blind source separation. The main problem is how to extract fetal ECG when a mother has twins. In this case, the isolation between fetuses ECG will be complicated because, both fetus ECG signals will have the same features. In this paper, a combination of blind source separation and band pass filter has been implemented. The obtained results by the suggested method records higher values of SNR than the other blind source separation (BSS), which are “STONE, JADE, and FICA” without using a filter. The effectiveness of the proposed method is checked by the measured signal to noise ratio (SNR) for each signal.\",\"PeriodicalId\":179575,\"journal\":{\"name\":\"2019 4th Scientific International Conference Najaf (SICN)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th Scientific International Conference Najaf (SICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICN47020.2019.9019363\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th Scientific International Conference Najaf (SICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICN47020.2019.9019363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

心电图仪用于测量由心脏产生的信号。它可以被归类为非手术设备。在怀孕期间观察胎儿心脏是非常重要的,因为它为医生在出生前诊断胎儿心脏缺陷提供了非常有用的信息。胎儿心电与母亲心电的分离采用了滤波、盲源分离等噪声分离技术。主要的问题是如何提取胎儿心电图当母亲有双胞胎。在这种情况下,由于两个胎儿的心电信号具有相同的特征,因此胎儿心电信号的分离将会变得复杂。本文实现了盲源分离与带通滤波器的结合。该方法获得的信噪比高于其他盲源分离(BSS),即未使用滤波器的“STONE, JADE和FICA”。通过测量每个信号的信噪比(SNR)来验证该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhancement Separation of ECG Signals for Twin Fetuses Based on Modified Blind Source Separation
Electrocardiogram device is used to measure signals that are generated from the heart. It can be classified as a non-surgical device. It is too important to watch fetal heart during gestation because it provides doctor with very useful information to diagnose any defect in fetuses heart before birth. Many techniques are used for isolating fetal ECG from his mother ECG and noise like filters and blind source separation. The main problem is how to extract fetal ECG when a mother has twins. In this case, the isolation between fetuses ECG will be complicated because, both fetus ECG signals will have the same features. In this paper, a combination of blind source separation and band pass filter has been implemented. The obtained results by the suggested method records higher values of SNR than the other blind source separation (BSS), which are “STONE, JADE, and FICA” without using a filter. The effectiveness of the proposed method is checked by the measured signal to noise ratio (SNR) for each signal.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EANRS: An Emotional Arabic News Recommender System Energy Saving of Air Conditioning System by Oscillating Heat Pipe Heat Recovery Using Binary Fluid Design, Fabrication and Performance Testing of PTC with Helical Coil Receiver Application HEC-RAS Model to Simulate the Flood Wave Due to Dam Failure Comparison between Different Decoding Algorithms For Low Density Parity Check
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1