A New Method to Improve the Quality of Embolic Ultrasound Signal Detection

Amirhossein Moshrefi, F. Nabki
{"title":"A New Method to Improve the Quality of Embolic Ultrasound Signal Detection","authors":"Amirhossein Moshrefi, F. Nabki","doi":"10.1109/NEWCAS49341.2020.9159780","DOIUrl":null,"url":null,"abstract":"Emboli detection and denoising have been the focus of attention from many years. Emboli can be occurred because of the air bubbles, concentrated fat particles or blood clotted in a vessel. The detection of this issue can be possible by employing Doppler ultrasonic transducers. However, this method would be very sensitive to peripheral noise. In this paper for emboli denoising, CEEMDAN as one of the newest and effective methods is introduced. Then, an algorithm for emboli detection based on Bayesian estimation is proposed. The results are compared with a recent method, showing that the proposed method yields an SNR that this improved by 45% and an accuracy rate of 94%.","PeriodicalId":135163,"journal":{"name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEWCAS49341.2020.9159780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Emboli detection and denoising have been the focus of attention from many years. Emboli can be occurred because of the air bubbles, concentrated fat particles or blood clotted in a vessel. The detection of this issue can be possible by employing Doppler ultrasonic transducers. However, this method would be very sensitive to peripheral noise. In this paper for emboli denoising, CEEMDAN as one of the newest and effective methods is introduced. Then, an algorithm for emboli detection based on Bayesian estimation is proposed. The results are compared with a recent method, showing that the proposed method yields an SNR that this improved by 45% and an accuracy rate of 94%.
一种提高栓塞超声信号检测质量的新方法
栓子的检测和去噪一直是近年来人们关注的焦点。栓子可能是由于气泡、浓缩的脂肪颗粒或血管中的血液凝结而发生的。使用多普勒超声换能器可以检测到这个问题。但是,这种方法对周围噪声非常敏感。本文介绍了一种最新有效的栓塞去噪方法——CEEMDAN。然后,提出了一种基于贝叶斯估计的栓子检测算法。结果与最近的方法进行了比较,表明该方法的信噪比提高了45%,准确率提高了94%。
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