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The CNN‐based Coronary Occlusion Site Localization with Effective Preprocessing Method
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1 ) Pub Date : 2020-08-13 , DOI: 10.1002/tee.23225
YeongHyeon Park 1 , Il Dong Yun 1 , Si‐Hyuck Kang 2
Affiliation  

The coronary artery occlusion (CAO) acutely comes to human, and it highly threats the human's life. When CAO detected, percutaneous coronary intervention (PCI) should be conducted timely. Before PCI, localizing the CAO is needed firstly, because the heart is covered with various arteries. We handle the three kinds of CAO in this paper and our purpose is not only localization of CAO but also improving the localizing performance via preprocessing method. We improve the area under the receiver operating characteristics curve at CAO site localization from a minimum of 0.150 to a maximum of 0.372 via our noise reduction and pulse extraction‐based method. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

基于CNN的冠状动脉阻塞部位的有效预处理方法

冠状动脉阻塞(CAO)会严重影响人类,严重威胁人类生命。当发现CAO时,应及时进行经皮冠状动脉介入治疗(PCI)。在进行PCI之前,首先需要对CAO进行定位,因为心脏被各种动脉覆盖。本文对这三种CAO进行了处理,我们的目的不仅是对CAO进行定位,而且还通过预处理方法提高了其定位性能。通过基于降噪和基于脉冲提取的方法,我们将CAO站点本地化的接收器工作特性曲线下的面积从最小0.150增大到最大0.372。©2020日本电气工程师学会。由Wiley Periodicals LLC发布。
更新日期:2020-09-22
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