{"title":"支持边缘计算的医疗保健框架提供远程医疗服务","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":"{\"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}","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}
Edge Computing-Enabled Healthcare Framework to Provide Telehealth Services
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.