A Novel Patient Monitoring System Using Photoplethysmography and IOT in the Age of COVID-19

Abstract

COVID-19 has hit the world like a storm and brought the healthcare systems along with entire economies down with it. In the age of IOT, there has been an increase in the use of interconnected sensors for automating many day-to-day tasks. Internet of Medical Things or IOMT is a subdiscipline of IOT that can alleviate the stress on the medical institutions during this pandemic and allow for remote patient monitoring at a lower cost. This paper will focus on an Android App that will measure the Heart Rate and Oxygen Saturation (also known as SPO2) of COVID-19 patients and the general public using photoplethysmography and IOT. The edge provided by our proposed model is the wide availability of a large range of sensors and microcontrollers and it's relatively low cost as compared to the current architecture being used. Another advantage of our approach is generation of data that can be used for further understanding and research. The app will then be upgraded to connect to multiple sensor devices connected to the same microcontroller module and receive data from those, hence creating a fully functional interface for complete health monitoring of patients as well as the general public at a minimal cost.