{"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.