一种自动分析心电图的智能框架

Fabio Persia, Stefania Costantini, C. Ferri, Lorenzo De Lauretis, D. D’Auria
{"title":"一种自动分析心电图的智能框架","authors":"Fabio Persia, Stefania Costantini, C. Ferri, Lorenzo De Lauretis, D. D’Auria","doi":"10.1109/TransAI51903.2021.00019","DOIUrl":null,"url":null,"abstract":"In the last months, due to the pandemic, telemedicine has been emerging more and more as a vital technology for providing medical care to patients, while also attempting to minimize COVID-19 transmission among patients, families, and medical doctors. This involves developing and exploiting virtual platforms enabling clinicians to remotely monitor patients’ vitals, such as the blood pressure or the electrocardiogram (ECG). In this context, this paper aims at defining a smart framework for automatically analyzing electrocardiograms, to be used at the patient’s home or at the entrance of First Aids, allowing to: (i) efficiently and effectively discover normal and anomalous situations in patient’s ECGs; (ii) automatically collect ECGs from commercial and effective ECG devices; (iii) be integrated into a smart app, supported by intelligent agents, which promptly provides patients with feedback about their health status.","PeriodicalId":426766,"journal":{"name":"2021 Third International Conference on Transdisciplinary AI (TransAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Smart Framework for Automatically Analyzing Electrocardiograms\",\"authors\":\"Fabio Persia, Stefania Costantini, C. Ferri, Lorenzo De Lauretis, D. D’Auria\",\"doi\":\"10.1109/TransAI51903.2021.00019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last months, due to the pandemic, telemedicine has been emerging more and more as a vital technology for providing medical care to patients, while also attempting to minimize COVID-19 transmission among patients, families, and medical doctors. This involves developing and exploiting virtual platforms enabling clinicians to remotely monitor patients’ vitals, such as the blood pressure or the electrocardiogram (ECG). In this context, this paper aims at defining a smart framework for automatically analyzing electrocardiograms, to be used at the patient’s home or at the entrance of First Aids, allowing to: (i) efficiently and effectively discover normal and anomalous situations in patient’s ECGs; (ii) automatically collect ECGs from commercial and effective ECG devices; (iii) be integrated into a smart app, supported by intelligent agents, which promptly provides patients with feedback about their health status.\",\"PeriodicalId\":426766,\"journal\":{\"name\":\"2021 Third International Conference on Transdisciplinary AI (TransAI)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Third International Conference on Transdisciplinary AI (TransAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TransAI51903.2021.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Third International Conference on Transdisciplinary AI (TransAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TransAI51903.2021.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

在过去的几个月里,由于大流行,远程医疗越来越多地成为向患者提供医疗服务的重要技术,同时也试图最大限度地减少COVID-19在患者、家庭和医生之间的传播。这包括开发和利用虚拟平台,使临床医生能够远程监测患者的生命体征,如血压或心电图(ECG)。在此背景下,本文旨在定义一个用于自动分析心电图的智能框架,用于患者家中或急救入口,允许:(i)有效地发现患者心电图的正常和异常情况;(ii)自动从商业和有效的ECG设备收集心电图;(iii)集成到智能应用程序中,由智能代理支持,及时向患者提供健康状况反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Framework for Automatically Analyzing Electrocardiograms
In the last months, due to the pandemic, telemedicine has been emerging more and more as a vital technology for providing medical care to patients, while also attempting to minimize COVID-19 transmission among patients, families, and medical doctors. This involves developing and exploiting virtual platforms enabling clinicians to remotely monitor patients’ vitals, such as the blood pressure or the electrocardiogram (ECG). In this context, this paper aims at defining a smart framework for automatically analyzing electrocardiograms, to be used at the patient’s home or at the entrance of First Aids, allowing to: (i) efficiently and effectively discover normal and anomalous situations in patient’s ECGs; (ii) automatically collect ECGs from commercial and effective ECG devices; (iii) be integrated into a smart app, supported by intelligent agents, which promptly provides patients with feedback about their health status.
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
×
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:604180095
Book学术官方微信