Monitoring and Smart Evaluation of COVID-19 Pandemic Patients Based on Internet of Things (IoT)

A smart patient monitoring system based on the Internet of Things (IoT) was proposed in this paper that supports the health care unit, especially in light of the Covid-19 crisis. Health institutions suffer from many problems, such as the spread of infections among the health staff due to their direct communication with the patient, and the tremendous pressure on health institutions. These circumstances prompted to suggest a system that is capable of solving these problems and providing access to vital information such as body temperature, heartbeat and blood oxygen, as well as monitoring the recovery room such as temperature, humidity and gases by using wireless medical sensors. This data is transmitted to the computing cloud using wi-fi network, after which it is displayed on the Thing speak platform where doctors and nurses can monitor their patients remotely anywhere and anytime. The proposed system will use the machine learning algorithm and the hardware component (DHT11, MQ2, MAX30100 and MLX90614) sensors and the ESP NODE MCU microcontroller, which is programmed via the IDE software based on C language. The system achieved good results and a high accuracy with low energy consumption, according to the experiments' results.