支持边缘计算的医疗保健框架提供远程医疗服务

M. Prabhu, Aravind Hanumanthaiah
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引用次数: 4

摘要

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。
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.
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