IoT-Fuzzy Intelligent System for COVID-19 Patient Management

This research article presents an IoT-enabled fuzzy intelligent system designed for the remote monitoring, diagnosis, and treatment of COVID-19 patients. The primary objective is to develop an integrated tool that combines IoT technology and fuzzy logic to facilitate timely healthcare delivery. The system utilizes an Arduino microcontroller to gather health data from various sensors, which is then processed and transmitted to a web platform for remote access. In emergency situations, such as abnormal vital signs, immediate alerts are sent to healthcare providers, enabling prompt intervention. The article discusses the significance of continuous remote monitoring in healthcare, particularly for patients in remote areas, and highlights the challenges faced by existing systems. It proposes a comprehensive health monitoring solution that not only tracks vital signs but also incorporates advanced features such as GPS integration and data privacy measures. The integration of fuzzy logic allows for more nuanced decision-making, enhancing the overall quality of patient care.