Intelligent network for proactive detection of COVID-19 disease

Abstract

This is a proposal for an automated detection and remote monitoring system made up of a centralized network of communicating portable electronic devices based on biomedical sensors operating in the IoT context in synergy with wireless sensor network technologies, telemedicine and artificial intelligence. This network will be deployed to monitor a population settling in a target area (cities, region, country, etc.). The goal of this system is the detection and early diagnosis of the disease in people infected with the COVID-19 virus, using a device (such as a bracelet or a chest strap). This device collects in real time all the necessary biomedical measurements of a person, including their location, freeing them from any hospitalization or use of complex and expensive equipment. These informations are then transmitted, via a wireless connection, to a regional or national control center which takes care of its storage in a specialized database. This center executes a decision-making algorithm using artificial intelligence and fuzzy inference engine to detect accurately each possible abnormal change in the supervised biomedical signs reflecting risk factor or indicating the appearance of symptoms characterizing COVID-19 disease. In the positive case, the control system triggers a warning alarm concerning this infected person and requests intervention of the competent authorities to take the necessary measures and actions. Computer simulations with Matlab software tool have been conducted to evaluate the performance of the proposed system. Study findings show that the designed device is suitable for application in COVID-19 patient monitoring.