Edge Computing-Enabled Healthcare Framework to Provide Telehealth Services

M. Prabhu, Aravind Hanumanthaiah
{"title":"Edge Computing-Enabled Healthcare Framework to Provide Telehealth Services","authors":"M. Prabhu, Aravind Hanumanthaiah","doi":"10.1109/wispnet54241.2022.9767142","DOIUrl":null,"url":null,"abstract":"Telemedicine has the potential to bridge the huge urban-rural health divide that exists in many developing economies in the fastest and the most affordable way. Cloud Computing holds promise for providing an efficient, cost-effective, and pervasive telemedicine paradigm. With cloud computing, biomedical sensor data can be stored and analyzed remotely by remotely distributed servers. However, a huge volume of data is generated by smart medical devices [1]. Thus, there is a need to leverage the Edge Computing paradigm to process data closer to the source of data generation. This paper presents a healthcare framework that incorporates a promising Edge-IoT ecosystem - the EdgeX Foundry for the telehealth use case of Blood Pressure monitoring. The end-to-end system is broadly divided into three parts: the User subsystem, the Edge subsystem, and the Cloud subsystem. This paper presents the use of EdgeX Foundry for a telehealth application.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/wispnet54241.2022.9767142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Telemedicine has the potential to bridge the huge urban-rural health divide that exists in many developing economies in the fastest and the most affordable way. Cloud Computing holds promise for providing an efficient, cost-effective, and pervasive telemedicine paradigm. With cloud computing, biomedical sensor data can be stored and analyzed remotely by remotely distributed servers. However, a huge volume of data is generated by smart medical devices [1]. Thus, there is a need to leverage the Edge Computing paradigm to process data closer to the source of data generation. This paper presents a healthcare framework that incorporates a promising Edge-IoT ecosystem - the EdgeX Foundry for the telehealth use case of Blood Pressure monitoring. The end-to-end system is broadly divided into three parts: the User subsystem, the Edge subsystem, and the Cloud subsystem. This paper presents the use of EdgeX Foundry for a telehealth application.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
支持边缘计算的医疗保健框架提供远程医疗服务
远程医疗有可能以最快和最实惠的方式弥合许多发展中经济体中存在的巨大城乡卫生鸿沟。云计算有望提供高效、经济、普及的远程医疗范例。借助云计算,生物医学传感器数据可以通过远程分布的服务器进行远程存储和分析。然而,智能医疗设备产生了大量的数据[1]。因此,有必要利用边缘计算范式来处理更接近数据生成源的数据。本文提出了一个医疗保健框架,该框架结合了一个有前途的边缘物联网生态系统——用于血压监测远程医疗用例的EdgeX铸造厂。端到端系统大致分为三个部分:User子系统、Edge子系统和Cloud子系统。本文介绍了EdgeX Foundry在远程医疗应用程序中的使用。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modified Simultaneous Weighted – OMP Based Channel Estimation and Hybrid Precoding for Massive MIMO Systems Zero Padded Dual Index Trimode OFDM-IM Diabetes Mellitus Prediction Based on Enhanced K Strange Points Clustering and Classification Mobile Sink Data Gathering and Path Determination in Wireless Sensor Networks: A Review A Study on Visual Based Optical Sensor for Depth Sense Estimation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1