Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors

Rajeesh Kumar N.V., Arun M., Baraneetharan E., Stanly Jaya Prakash J., Kanchana A., Prabu S.
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引用次数: 73

Abstract

Purpose Many investigations are going on in monitoring, contact tracing, predicting and diagnosing the COVID-19 disease and many virologists are urgently seeking to create a vaccine as early as possible. Even though there is no specific treatment for the pandemic disease, the world is now struggling to control the spread by implementing the lockdown worldwide and giving awareness to the people to wear masks and use sanitizers. The new technologies, including the Internet of things (IoT), are gaining global attention towards the increasing technical support in health-care systems, particularly in predicting, detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also helps in fighting against COVID-19 by monitoring, contract tracing and detecting the COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the interconnected Web of smart devices, sensors, actuators and data, which are collected in the raw form and transmitted through the internet. The purpose of this paper is to propose the concept to detect and monitor the asymptotic patients using IoT-based sensors. Design/methodology/approach In recent days, the surge of the COVID-19 contagion has infected all over the world and it has ruined our day-to-day life. The extraordinary eruption of this pandemic virus placed the World Health Organization (WHO) in a hazardous position. The impact of this contagious virus and scarcity among the people has forced the world to get into complete lockdown, as the number of laboratory-confirmed cases is increasing in millions all over the world as per the records of the government. Findings COVID-19 patients are either symptomatic or asymptotic. Symptomatic patients have symptoms such as fever, cough and difficulty in breathing. But patients are also asymptotic, which is very difficult to detect and monitor by isolating them. Originality/value Asymptotic patients are very hazardous because without knowing that they are infected, they might spread the infection to others, also asymptotic patients might be having very serious lung damage. So, earlier prediction and monitoring of asymptotic patients are mandatory to save their life and prevent them from spreading.
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利用物联网设备和传感器检测和监测新冠肺炎无症状患者
在监测、接触者追踪、预测和诊断COVID-19疾病方面正在进行许多调查,许多病毒学家正在紧急寻求尽早研制出疫苗。尽管没有针对这种大流行疾病的具体治疗方法,但世界正在努力通过在全球范围内实施封锁,并让人们意识到戴口罩和使用消毒剂来控制传播。包括物联网(IoT)在内的新技术正在获得全球关注,以增加卫生保健系统的技术支持,特别是在预测、检测、预防和监测大多数传染病方面。同样,它还通过与基于物联网的智能解决方案的连接,通过监测、合同追踪和检测COVID-19大流行,帮助抗击COVID-19。物联网是由智能设备、传感器、执行器和数据组成的互联网络,这些数据以原始形式收集并通过互联网传输。本文的目的是提出使用基于物联网的传感器检测和监测渐近患者的概念。设计/方法/方法最近几天,新冠肺炎疫情在全球蔓延,破坏了我们的日常生活。这种大流行性病毒的突然爆发使世界卫生组织(世卫组织)处于危险的境地。这种传染性病毒的影响和人民的匮乏迫使世界进入完全封锁状态,因为根据政府的记录,世界各地实验室确诊病例的数量正在以数百万计增加。发现covid -19患者有症状或无症状。有症状的病人有发热、咳嗽和呼吸困难等症状。但患者也是无症状的,这很难通过隔离来发现和监测。无症状患者是非常危险的,因为在不知道自己被感染的情况下,他们可能会将感染传播给他人,而且无症状患者可能会有非常严重的肺损伤。因此,早期预测和监测无症状患者是必要的,以挽救他们的生命,防止他们的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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