COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

IEEE Access

Hamid Reza Marateb¹  Paul Babyn²  Mohammad Reza Mohebbian³  Amir Fotovvat³  Seyed Shahim Vedaei³  Gazi M. E. Rahman³  Khan A. Wahid³  Marjan Mansourian⁴  Ramin Sami⁵ 

[1] Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Isfahan, Iran;College of Medicine, Saskatchewan Health Authority, Saskatoon, Canada;Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada;Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran;Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;

关键词: IoT;    health monitoring;    smart healthcare;    pandemic;    COVID-19;   

DOI  :  10.1109/ACCESS.2020.3030194

来源: DOAJ

【 摘 要 】

In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to break the infection chain is self-isolation and maintaining the physical distancing. In this article, we present a potential application of the Internet of Things (IoT) in healthcare and physical distance monitoring for pandemic situations. The proposed framework consists of three parts: a lightweight and low-cost IoT node, a smartphone application (app), and fog-based Machine Learning (ML) tools for data analysis and diagnosis. The IoT node tracks health parameters, including body temperature, cough rate, respiratory rate, and blood oxygen saturation, then updates the smartphone app to display the user health conditions. The app notifies the user to maintain a physical distance of 2 m (or 6 ft), which is a key factor in controlling virus spread. In addition, a Fuzzy Mamdani system (running at the fog server) considers the environmental risk and user health conditions to predict the risk of spreading infection in real time. The environmental risk conveys from the virtual zone concept and provides updated information for different places. Two scenarios are considered for the communication between the IoT node and fog server, 4G/5G/WiFi, or LoRa, which can be selected based on environmental constraints. The required energy usage and bandwidth (BW) are compared for various event scenarios. The COVID-SAFE framework can assist in minimizing the coronavirus exposure risk.

【 授权许可】

Unknown