面对:基于COVID-19管理的云雾露雨监测框架
Anish Poonia1, Shreya Ghosh1, Akash Ghosh2
1Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India.
概括
一个新的云-雾-框架,CONFRONT,使用物联网 (IoT) 设备进行COVID-19患者监测和初步诊断,特别是在卫生基础设施有限的发展中国家.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 流行病管理管理 流行病管理
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- COVID-19大流行突显了医疗保健系统面临的挑战,尤其是人口大,资源有限的发展中国家.
- 物联网 (IoT) 设备为广泛监测和早期检测传染病提供了潜力.
研究的目的:
- 提出CONFRONT,这是一个基于Covid-19管理的云雾露雨监测框架.
- 为了利用物联网进行初步COVID-19诊断和在隔离或家庭治疗期间的患者监测.
主要方法:
- 实现了三层架构:云用于大规模数据分析,雾用于实时处理和低带宽,露用于本地化可用性.
- 设计和制造具有异质传感器的低成本可穿戴设备.
主要成果:
- 雾架构可以实现实时监控,降低带宽需求.
- 云服务器提供可扩展的计算和存储,用于分析COVID-19统计数据.
- 露水架构确保在间歇性云连接期间的应用程序可用性.
结论:
- CONFRONT框架为远程COVID-19患者监测和初步诊断提供了一个可行的解决方案.
- 这种基于物联网的方法可以支持医疗保健系统管理流行病,特别是在资源有限的环境中.
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