启用边缘的安全医疗保健系统

Deepti Saraswat, M. Das
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引用次数: 1

摘要

边缘计算作为现实世界数据、传感器节点和云设备之间的接口,并提供预期的安全和隐私功能。使用嵌入现代芯片组并利用边缘计算的智能可穿戴设备,即使医生位于很远的地方,也可以提供近乎实时的监测,显示患者健康状况的诊断结果,并防止疾病传播。本文提出了一种安全的智能医疗系统,该系统由患者和医生端的多个生理传感器、智能设备和边缘节点支持,收集、保护、处理、分析并利用云设施管理患者的健康记录。分析的数据和必要的数据提供给患者的智能设备。仿真结果表明,该系统对不同医疗条件下的患者具有较低的延迟要求,可实现医疗专业人员的快速实时诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge-enabled Secure Healthcare System
The edge computing works as an interface between the real world data, sensor nodes and cloud devices and provides intended security and privacy features. Use of smart wearable devices embedded with modern chipsets and leveraged with edge computing provides near real time monitoring, display diagnostics of state of the patient health and prevents spread of disease, even if the doctor is distantly located. In this paper, a secure smart health care system is proposed that is supported by multiple physiological sensors, smart devices and edge nodes at patient and doctor end to collect, protect, process, analyze and leverages cloud facilities to manage health records of patients. The analyzed data and requisites data are made available to the patient’s smart devices. The simulation results show that the proposed system demands low latency for patients under different medical condition to enable fast and real-time diagnosis from healthcare professionals.
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