Problems in archiving long-term continuous ECG data – a review

Abdallah Benhamida, Akram Zouaoui, G. Szocska, K. Karóczkai, Ghaith Slimani, M. Kozlovszky
{"title":"Problems in archiving long-term continuous ECG data – a review","authors":"Abdallah Benhamida, Akram Zouaoui, G. Szocska, K. Karóczkai, Ghaith Slimani, M. Kozlovszky","doi":"10.1109/SAMI.2019.8782737","DOIUrl":null,"url":null,"abstract":"Measuring, recording and evaluating the various physiological patient parameters is one of our main challenge in healthcare sector recently. People are wearing different health monitoring sensors and there are already industry standards that can be used to store the measured individual data. Howe ver, many of these standards are incompatible with each other. Data processing and information mining of patient’s medical data requires generalized and well-defined data formats. Today’s monitoring tools - this paper focuses primarily on ECG equipments - are getting smaller and produce more and more data (often with higher resolution and more observed parameters). Remote monitoring of cardiovascular events and parameters are feasible, but digital archiving of ECG data at population level in Hungary is not fully solved yet. In our paper, we are focusing on remote monitoring of cardiac functions. We provide overview about the existing ECG data storage format standards and show their limitations.","PeriodicalId":240256,"journal":{"name":"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2019.8782737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Measuring, recording and evaluating the various physiological patient parameters is one of our main challenge in healthcare sector recently. People are wearing different health monitoring sensors and there are already industry standards that can be used to store the measured individual data. Howe ver, many of these standards are incompatible with each other. Data processing and information mining of patient’s medical data requires generalized and well-defined data formats. Today’s monitoring tools - this paper focuses primarily on ECG equipments - are getting smaller and produce more and more data (often with higher resolution and more observed parameters). Remote monitoring of cardiovascular events and parameters are feasible, but digital archiving of ECG data at population level in Hungary is not fully solved yet. In our paper, we are focusing on remote monitoring of cardiac functions. We provide overview about the existing ECG data storage format standards and show their limitations.
长期连续心电数据归档中的问题综述
测量、记录和评估患者的各种生理参数是我们最近在医疗保健领域面临的主要挑战之一。人们正在佩戴不同的健康监测传感器,并且已经有了可用于存储测量到的个人数据的行业标准。然而,这些标准中有许多是互不兼容的。患者医疗数据的数据处理和信息挖掘需要通用的、定义良好的数据格式。今天的监测工具(本文主要关注心电设备)越来越小,产生的数据越来越多(通常具有更高的分辨率和更多的观测参数)。心血管事件和参数的远程监测是可行的,但在匈牙利人口水平的心电数据的数字化存档尚未完全解决。在我们的论文中,我们专注于心脏功能的远程监测。我们概述了现有的心电数据存储格式标准,并指出了它们的局限性。
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