An Empirical Design of IoT based Health Surveillance Scheme for Coronavirus Affected Patients

In the year of 2019, a major destruction was raised to all over the Country called as Coronavirus, which is also termed as Covid-19. This is one of the serious threat and many people lost their lives due to the affection of Coronavirus disease. Due to the spread ratio and nature, nobody is interested to properly monitor the patients who are all affected with this disease. So, that a new technology is required to monitor the health conditions of patients and instantly reporting the details to the respective person and guardian as well. As technology advances, doctors are constantly on the lookout for new automated gadgets that might make it simpler to detect abnormalities in the human body. The Internet of Things makes it possible to create cutting-edge, transparent healthcare support structures. This paper introduced a new health monitoring scheme called Covid Patients Health Analyzer (CPHA), in which this methodology is associated with the help of trending technology called Internet of Things (IoT). This system introduces an Internet of Things assisted patient health surveillance technology, which aids medical professionals in remotely measuring the blood concentration, pulse rate, respiration level and temperature of the respective patient. Both the person's pulse rate and blood oxygen sufficiency levels are read using an intelligent sensor called MAX3100, whereas the individual's temperature is scanned with a powerful sensor called DS18B20. Using a humidity identification sensor, one may determine the relative humidity of a given space. All required information will be encoded and decoded by the ESP32 module before being processed. The patients Fingers are hooked up to sensors as well as readings are shown on a respective computer or smartphone. After putting the suggested system through its paces, the working is clearly tested and it delivers the desired results in good manner. By monitoring the process remotely, medical personnel no longer need to worry about contracting the coronavirus when examining the conditions of multiple patients at once using this suggested technology.