A Study on ECG Monitoring Embedded Systems

Jaehyuk Kim, Eunchan Kim, Yeunwoong Kyung, Haneul Ko
{"title":"A Study on ECG Monitoring Embedded Systems","authors":"Jaehyuk Kim, Eunchan Kim, Yeunwoong Kyung, Haneul Ko","doi":"10.1109/ICTC55196.2022.9952978","DOIUrl":null,"url":null,"abstract":"The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"55 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC55196.2022.9952978","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 technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.
心电监测嵌入式系统的研究
随着可穿戴设备技术的发展,出现了简单、紧凑的嵌入式心电监测系统。对于商用心电监测系统来说,分类是关键的性能指标之一。这是因为分类识别异常的心电信号,从而导致适当的治疗。由于分类需要计算能力,因此通常考虑基于服务器或基于网关的分类。这意味着嵌入式系统在传统的心电监测系统中只起到了采集的作用。然而,为了提供实时的分类,介绍了嵌入式系统对心电分类的需求。因此,本文对现有的心电监测系统进行了综述,提出了一种嵌入式系统心电分类的候选方案。
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