An IoT-based health monitoring system using Arduino Uno and ARIMA accurately monitored and predicted COVID-19 patients' heart rate and oxygen saturation compared to commercial devices.
An Arduino-based IoT system with ARIMA prediction provides accurate real-time monitoring of heart rate and oxygen saturation for COVID-19 patients.
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 significant measures necessary for critical care. Specifically, the proposed 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 Autoregressive Integrated Moving Average (ARIMA) method in the back-end server to predict future patient measurements based on current and past measurements. Compared to commercially available devices, the system's results are adequately accurate, with an acceptable RMSE for predicted value.
Thanh et al. (Mon,) conducted a other in COVID-19. IoT-based health monitoring system with ARIMA prediction vs. Commercially available devices was evaluated on Heart rate and oxygen saturation monitoring accuracy and prediction RMSE. An IoT-based health monitoring system using Arduino Uno and ARIMA accurately monitored and predicted COVID-19 patients' heart rate and oxygen saturation compared to commercial devices.
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