Intelligent Monitoring System to Aid in the Proactive and Early Detection of People Infected by COVID-19

Chakkor, S.; Baghouri, M.; El Oualkadi, A.; El Hangouche, J. A.; Laamech, J.; Belfkih, R.

In this research work, automated detection and a remote monitoring system for COVID-19 are suggested for use. This later is made up of a centralized network of intelligent communicating portable electronic devices based on biomedical sensors operating in IoT context in synergy with the wireless sensor network, telemedicine, and artificial intelligence technologies. The purpose of this system is the monitoring, detection, and early diagnosis of the COVID-19 disease in a population settling in a target area (city, region, country, etc.). This is done using an electronic device worn by each person (such as a bracelet or a chest strap). In fact, the designed 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 the supervision center which takes care of its storage in a specialized database. This center processes the collected data for each person by running a decision-making algorithm using artificial intelligence and a fuzzy inference engine to detect accurately each possible abnormal change in the supervised quantities reflecting risk factors or indicating the appearance of symptoms characterizing COVID-19 disease. In this case, the control system triggers a warning alarm concerning this infected person and requests the intervention of the competent authorities to take the necessary measures and actions. Computer simulations with Matlab software and experimental test prove the satisfactory performance of the proposed system. Study findings show that the designed device is suitable for application in COVID-19 patient monitoring. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.