Key result
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.
Why the study?
During the COVID-19 pandemic, IoT-based health monitoring devices are precious for COVID-19 patients to monitor critical measures like heart rate and oxygen saturation.
An Arduino-based IoT system with ARIMA prediction provides accurate real-time monitoring of heart rate and oxygen saturation for COVID-19 patients.
May support low-cost IoT monitoring in COVID-19; leaves open need for prospective validation before clinical adoption.
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.
No takes yet. Share an insight, caveat, or question.
Thanh et al. (2022) studied 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.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: