基于物联网系统的COVID-19患者医疗监控

Q4 Medicine
Marwa Mawfaq Mohamedsheet Al-Hatab, Aseel Thamer Ebrahem, Ali Rakan Hasan AL-JADER, Maysaloon Abed Qasim, Entisar Y. Abd al-jabbar
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引用次数: 1

摘要

在2019年冠状病毒病(COVID-19)大流行之初,世界需要开发一种创新、准确的系统,用于远程护理和随访患者,以减少大量患者涌入医院。因此,利用成熟的物联网(IoT)技术构建医疗保健应用模型。本研究的主要目的是创建一个连接到应用程序的系统,该系统可以通过监测不同水平的生物特征来持续远程和早期检测临床恶化,以降低患者发生严重并发症的风险。对4名年龄在30-50岁的COVID-19患者(2男2女)进行了评估。该系统在医院的条件和医疗监督下进行了检查,随后进行了重要测量(血氧饱和度、心率和体温)。在一周内平均每天记录4次检查。该模型记录了4例患者血氧饱和度(SpO2)、脉搏率和体温的平均误差分别为0.3975%、0.2625%和2.925%。关键词:医疗保健,COVID-19,物联网系统
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Healthcare Monitoring COVID-19 Patients Based on IoT System
At the beginning of the Coronavirus disease 2019 (COVID-19) pandemic, the world needed to develop an innovative, accurate system for caring for and following up with patients remotely to reduce the massive influx of patients into hospitals. Therefore, the well-established Internet of Things (IoT) technology was used to build an applied model for health care. The main objective of this study was to create a system connected to an application that allows continuous remote and early detection of clinical deterioration by monitoring different levels of biometrics to reduce the patient's risk of serious complications. Assessments were conducted on four subjects (two males, two females) aged 30-50 years with COVID-19. The system was examined under conditions and medical supervision in the hospital, following a schedule of vital measurements (oxygen saturation rate, heart rate and temperature). An average of 4 examinations was recorded per day over a week. The model has recorded the mean of error of oxygen saturation rate (SpO2), pulse rate, and body temperature as (0.3975%), (0.2625%) and (2.925%) for four patients. Keywords: Healthcare, COVID-19, IoT System
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来源期刊
Revista Bionatura
Revista Bionatura Medicine-Epidemiology
CiteScore
0.50
自引率
0.00%
发文量
144
审稿时长
8 weeks
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