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Lightweight IoT-Based System for COVID-19 Patient Health Monitoring and Prediction
9th NAFOSTED Conference on Information and Computer Science, NICS 2022 ; : 328-332, 2022.
Article in English | Scopus | ID: covidwho-2236241
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 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. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 9th NAFOSTED Conference on Information and Computer Science, NICS 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 9th NAFOSTED Conference on Information and Computer Science, NICS 2022 Year: 2022 Document Type: Article