Covid -19 Patients Monitoring System

Abstract

With the present Coronavirus disease (COVID-19) pandemic, Internet of Things (IoT)- based health monitoring devices are precious to COVID-19 patients. We present a real time IoT-based health monitoring system that monitors patients’ heart rate and oxygen saturation, the most signifcant measures necessary for critical care. Specifcally, the pro posed IoT-based system is built with Arduino Uno-based hardware and a web application for retrieving the patients’ health information. In addition, we implement the Autore gressive Integrated Moving Average (ARIMA) method in the back-end server to predict future patient measurements based on current and past measurements. Compared to other commercially available devices, the system’s results are adequately accurate, with an acceptable RMSE for predicted value.