Approach for the Development of a System for COVID-19 Preliminary Test

Capris, T.; Melo, P.; Pereira, P.; Morgado, J.; Garcia, N. M.; Pires, I. M.

Nowadays, Coronavirus is the biggest challenge of medicine. This problem is divided into two sectors: health and economy. In relation to health, there has been an alarming exponential rise in deaths, those who do not belong to the risk group are precisely those who contaminate and lead to disease. The economy also bleeds globally, and companies are failing. Thus, thousands of people are out of work. This paper is focused on predicting whether an individual is possible with symptoms of COVID-19 and proposing the use of technology. In a context of ambient assisted living, it can save thousands of lives and builds the world economy. Therefore, a preliminary mobile diagnosis may provide a reduction in government costs and a potential alternative to the existing tests. In view of all that has been mentioned, sensors are the best solution to detect the symptoms of the disease. This project will try to identify different symptoms, such as high body temperature, breathing difficulties, and cough. The sensors that may be used to identify these symptoms are a thermometer, an electroencephalogram (EEG) sensor, an electromyography (EMG) sensor and an electrodermal activity (EDA) sensor. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.