基于专用后端服务器软件的远程医疗跟踪与监控系统

F. Ali, Tariq Emad Ali, Z. Al-Dahan
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引用次数: 3

摘要

近年来,由于冠状病毒(Covid -19)大流行,世界上出现了一种社会排斥和无法直接沟通的现象,随之而来的与医院患者沟通的困难导致需要使用现代技术来解决和便利人们之间的沟通问题。通过物联网(IOT)和云计算监测患者的实时数据,医疗保健取得了许多显着的发展,使许多患者的生命得以挽救。本文介绍了基于物联网健康监测系统的专用后端服务器软件的设计和实现,该系统涉及紧急医疗服务,利用生物传感器通过ESP32微控制器板和物联网云检测个人的多种生命体征。该设备显示重要数据,然后将其上传到云服务器上,通过物联网网络进行存储和分析。重要数据从云服务器接收,并显示在物联网医疗客户端仪表板上进行远程监控。该系统允许用户通过实时高效地记录、收集、共享和分析大量生物数据流,如重症监护病房(ICU)(即温度、心率、氧气水平(CO2)等),来改善医疗风险并降低成本。在这个方案中,数据将从固定在患者体内的传感器持续实时地发送到网络和移动应用程序中进行收集和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Private Backend Server Software-Based Telehealthcare Tracking and Monitoring System
In these recent years, the world has witnessed a kind of social exclusion and the inability to communicate directly due to the Corona Virus Covid 19 (COVID-19) pandemic, and the consequent difficulty of communicating with patients with hospitals led to the need to use modern technology to solve and facilitate the problem of people communicating with each other. healthcare has made many remarkable developments through the Internet of things (IOT) and cloud computing to monitor real-time patients' data, which has enabled many patients' lives to be saved. this paper presents the design and implementation of a Private Backend Server Software based on an IoT health monitoring system concerned emergency medical services utilizing biosensors to detect multivital signs of an individual with an ESP32 microcontroller board and IoT cloud. The device displays the vital data, which is then uploaded to a cloud server for storage and analysis over an IoT network. Vital data is received from the cloud server and shown on the IoT medical client dashboard for remote monitoring. The proposed system allows users to ameliorate healthcare jeopardy and minify its costs by recording, gathering, sharing, and analyzing vast biodata streams such as Intensive Care Units (ICU) (i.e., temperature, heartbeat rate, Oxygen level (CO2), etc.), efficiently in real-time. In this proposal, the data will send from sensors fixed in the patient body to the Web and Mobile App continually in real time for collection and analysis.
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