FRAMEWORK FOR TOUCHLESS PATIENT MONITORING SYSTEM INTEGRATING UWB RADAR AND INTERNET OF THINGS (IoT) FOR COVID19 PATIENTS

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
P. R., Annaram K, Venkatalakshmi K
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引用次数: 1

Abstract

In recent years, internet of things (IoT) technology has shown great potential in the health care sector through different wearable sensors. Monitoring various health parameters like body temperature, blood pressure, heartbeat, oxygen level, and sugar level is very important for being proactive against chronic and pandemic diseases. Monitoring patients is a great challenge during pandemic diseases since doctors and other medical practitioners are exposed to risk. This paper presents a novel touchless health and patient monitoring system embedding ultra-wideband (UWB) and IoT technolo-gies for effective monitoring of COVID-19 patients. The IoT module is specifically designed for health monitoring whereas UWB radar is designated for effective touchless patient monitoring. The IoT module comprises a temperature sensor, heartbeat sensor, and pulse oximeter, which sense and store the information in the Internet cloud, which can then be accessed through mobile and web applications. UWB radar is integrated with the system for touchless patient monitoring. The proposed system is also embedded with a heath-assisting module that allows patients to interact with doctors after receiving their health parameters through the mobile bot application termed IOT FIT BOT. A mobile application and a web-based graphical user interface are developed to receive sensed data immediately. Thus the proposed system provides effective health monitoring along with live health assistance, and more importantly, the system offers touchless patient monitoring, which will be a promising solution for medical professionals during pandemic situations like COVID-19. © 2022 by Begell House, Inc.
整合超宽频雷达与物联网(IoT)的非接触式病患监测系统架构
近年来,物联网(IoT)技术通过各种可穿戴传感器在医疗保健领域显示出巨大的潜力。监测各种健康参数,如体温、血压、心跳、氧气水平和血糖水平,对于主动预防慢性和流行病非常重要。在大流行疾病期间,监测患者是一项巨大挑战,因为医生和其他医疗从业人员面临风险。本文提出了一种嵌入超宽带(UWB)和物联网技术的新型非接触式健康和患者监测系统,用于有效监测COVID-19患者。物联网模块专为健康监测而设计,而超宽带雷达专为有效的非接触式患者监测而设计。物联网模块包括温度传感器、心跳传感器和脉搏血氧仪,它们感知并将信息存储在互联网云中,然后可以通过移动和web应用程序访问这些信息。超宽带雷达与非接触式病人监测系统集成。该系统还嵌入了一个健康辅助模块,允许患者通过称为IOT FIT bot的移动机器人应用程序接收健康参数后与医生进行互动。开发了移动应用程序和基于web的图形用户界面来立即接收感知数据。因此,该系统提供了有效的健康监测和现场健康援助,更重要的是,该系统提供了非接触式患者监测,这将是医疗专业人员在COVID-19等大流行情况下的一个有前途的解决方案。©2022 by Begell House, Inc。
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来源期刊
CiteScore
3.40
自引率
14.30%
发文量
44
审稿时长
>12 weeks
期刊介绍: The aim of the journal is to advance the research and practice in diverse areas of Multiscale Computational Science and Engineering. The journal will publish original papers and educational articles of general value to the field that will bridge the gap between modeling, simulation and design of products based on multiscale principles. The scope of the journal includes papers concerned with bridging of physical scales, ranging from the atomic level to full scale products and problems involving multiple physical processes interacting at multiple spatial and temporal scales. The emerging areas of computational nanotechnology and computational biotechnology and computational energy sciences are of particular interest to the journal. The journal is intended to be of interest and use to researchers and practitioners in academic, governmental and industrial communities.
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