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Detecting coronavirus contact using internet of things

机译:使用物联网检测冠状病毒联系

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摘要

Purpose - The purpose of this paper is to identify coronavirus contact using internet of things. The disease is said to be highly contagious with the contact of infected persons. Feared to be air-borne, droplets of body fluids can transmit the disease in a matter of hours. The predominant symptoms of the COVID-19 are high fever, cough, breathing problem, etc. Recent studies have demonstrated the evolution of the disease to hide its symptoms. As it is highly transmissible, this disease might spread at an exponential rate costing the lives of thousands of people. The chain of transmission has to be detected with utmost priority through early detection and isolation of infected people. Automated internet of things (IoT) devices can be used in design and implementation of a prediction scheme for reporting the health-care risks of the patients with various parameters such as temperature, humidity and blood pressure. Design/methodology/approach - IoT is a configuration of multiple autonomous and embedded wireless devices for serving a purpose. Every object possesses an individual identity and will serve to register critical events as entries for future learning and decisions. IoT plays an inevitable role in medical industries, detection of vital signs of diseases and monitoring. Among other life-threatening diseases, a new pandemic is on rise among world nations. COVID-19, a novel severe acute respiratory syndrome virus originated from animals in December 2019 and is becoming a serious menace to Governments, despite serious measures of lockdowns. Findings - In this paper, the authors denned an architecture of an IoT system to predict the Covid-19 disease by getting the data from the human through sensors and send the data to the doctor using mobile, computer, etc. The main goal is early health surveillance by predicting COVID-19. Accordingly, the authors are able to identify both symptomatic and asymptomatic patients, which will help in the early prediction of disease. Originality/value - Using the proposed method, the authors can save the time of both patient and doctor by ensuring timely medical treatment and contribute toward breaking the transmission chain. In so doing, the method also contributes toward avoiding unnecessary expenses and saving human lives.
机译:目的 - 本文的目的是使用物联网识别冠状病毒联系。据说这种疾病与受感染者的接触高度传染性。令人担心的是空气传播,体液的液滴可以在几个小时内传播疾病。 Covid-19的主要症状是高发烧,咳嗽,呼吸问题等。最近的研究表明疾病的演变隐藏着其症状。由于它是高度传播的,这种疾病可能会以指数速率蔓延成千上万的人的成本。通过早期检测和隔离感染者,必须以最优先权检测到传输链。自动化的东西(物联网)设备可用于预测方案的设计和实现,用于报告患者的患者的疗养保健风险,例如温度,湿度和血压。设计/方法/方法 - IOT是用于服务的多个自主和嵌入式无线设备的配置。每个对象都拥有个人身份,并将用于将关键事件注册为未来学习和决策的条目。 IOT在医疗行业中发挥不可避免的作用,检测生命疾病和监测的生命症状。在其他危及生命的疾病中,一个新的大流行是在世界各国崛起的。 Covid-19,一种新的严重急性呼吸综合征病毒于2019年12月起源于动物,尽管有严重的锁定措施,但政府正在成为政府的严重威胁。调查结果 - 作者,作者将通过从人类通过传感器获取数据来预测Covid-19疾病的架构,并使用移动,计算机等将数据发送到医生。主要目标是早期通过预测Covid-19,健康监测。因此,作者能够鉴定症状和无症状患者,这将有助于早期预测疾病。原创性/值 - 使用该方法,作者可以通过确保及时的医疗并有助于破坏传动链来节省患者和医生的时间。在这样做时,该方法也有助于避免不必要的费用和挽救人类生命。

著录项

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  • 作者单位

    Department of Computer Science and Engineering Kongu Engineering College Erode India;

    Department of Computer Science and Engineering Muthayammal Engineering College Rasipuram India;

    Department of Computer Science and Engineering Muthayammal Engineering College Rasipuram India;

    Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India;

    Department of Computer Science and Engineering Muthayammal College of Engineering Rasipuram India;

    Institute for Industry and International Programs Vellore Institute of Technology Vellore India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    IoT; Sensors; Arduino; GSM; Wi-Fi; COVID-19 prediction system;

    机译:IOT;传感器;arduino;GSM;无线上网;Covid-19预测系统;

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