基于物联网和LORA协议的新型COVID-19接触病例识别智能手环设计

Karima Zouari, Omar Houmanat, I. Cherti, M. Bahaj
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摘要

COVID-19是人类历史上最危险的大流行病之一。2019年12月在中国武汉首次出现,已成为世界各国关注的问题。这种病毒只需要很短的距离就能在人与人之间迅速传播,即使我们能找到所有受感染的人,这也不能解决问题。真正的解决办法是找出所有与病毒携带者接触过的人。本文从早期发现、保持社交距离、隔离等方面对新型冠状病毒肺炎在线监测、智能辅助诊断和治疗辅助进行研究。同时专注于无线医疗网络、物联网和云计算。联合或混合方法利用数据医疗技术和物联网的优势并减轻其弱点,以检测和提醒已接触covid-19的人。
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Design of an Intelligent Bracelet Based on IOT and LORA Protocol to Identify New COVID-19 Contact Cases
COVID-19 is one of the most dangerous pandemics in human history. First emerged in Wuhan, China, in December 2019, it has become a concern to all countries of the world. This virus only needs a short distance to spread rapidly between humans, and even if we could locate all the infected individuals, this would not solve the problem. The real solution is to identify all the people who have come in contact with the virus carrier. This paper is a study on online monitoring, intelligent assisted diagnosis, and treatment assistance for covid-19 in terms of early identification, social distancing, and quarantine. While focusing on wireless healthcare networks, the internet of things, and cloud computing. A federated or hybrid approach leverages the strengths and mitigates the weaknesses of both Data Medical Technology and IOT to detect and alert people who have been exposed to covid-19.
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