Al Bassam Nizar, Hussain Shaik Asif, Al Qaraghuli Ammar, Khan Jibreal, Sumesh E P, Lavanya Vidhya
Centre for Research and Consultancy, Middle East College, Muscat, Oman.
Centre for Research and Consultancy, Technology Transfer Officer, Middle East College, Muscat, Oman.
Inform Med Unlocked. 2021;24:100588. doi: 10.1016/j.imu.2021.100588. Epub 2021 May 8.
Monitoring and managing potential infected patients of COVID-19 is still a great challenge for the latest technologies. In this work, IoT based wearable monitoring device is designed to measure various vital signs related to COVID-19. Moreover, the system automatically alerts the concerned medical authorities about any violations of quarantine for potentially infected patients by monitoring their real time GPS data. The wearable sensor placed on the body is connected to edge node in IoT cloud where the data is processed and analyzed to define the state of health condition. The proposed system is implemented with three layered functionalities as wearable IoT sensor layer, cloud layer with Application Peripheral Interface (API) and Android web layer for mobile phones. Each layer has individual functionality, first the data is measured from IoT sensor layer to define the health symptoms. The next layer is used to store the information in the cloud database for preventive measures, alerts, and immediate actions. The Android mobile application layer is responsible for providing notifications and alerts for the potentially infected patient family respondents. The integrated system has both API and mobile application synchronized with each other for predicting and alarming the situation. The design serves as an essential platform that defines the measured readings of COVID-19 symptoms for monitoring, management, and analysis. Furthermore, the work disseminates how digital remote platform as wearable device can be used as a monitoring device to track the health and recovery of a COVID-19 patient.
对于最新技术而言，监测和管理新型冠状病毒肺炎（COVID-19）的潜在感染患者仍然是一项巨大挑战。在这项工作中，设计了基于物联网的可穿戴监测设备来测量与COVID-19相关的各种生命体征。此外，该系统通过监测潜在感染患者的实时全球定位系统（GPS）数据，自动就任何违反隔离规定的情况向相关医疗机构发出警报。放置在身体上的可穿戴传感器连接到物联网云的边缘节点，在那里对数据进行处理和分析以确定健康状况。所提出的系统通过可穿戴物联网传感器层、具有应用程序外围接口（API）的云层和用于手机的安卓网络层这三层功能来实现。每层都有各自的功能，首先从物联网传感器层测量数据以确定健康症状。下一层用于将信息存储在云数据库中，以便采取预防措施、发出警报和立即行动。安卓移动应用层负责向潜在感染患者的家属提供通知和警报。该集成系统的API和移动应用相互同步，用于预测和警示情况。该设计是一个重要平台，用于定义COVID-19症状的测量读数，以进行监测、管理和分析。此外，这项工作还阐述了作为可穿戴设备的数字远程平台如何能够用作监测设备来跟踪COVID-19患者的健康状况和康复情况。
