Remote Patient Monitoring System

Abstract

The growing demand for continuous healthcare monitoring has led to the development of IoT-based remote patient monitoring systems that allow doctors to observe patient health parameters without requiring physical presence. This paper presents a low-cost, efficient, and real-time remote patient monitoring system developed using the ESP8266 Node MCU microcontroller integrated with a MAX30100 pulse oximeter sensor and a DHT11 temperature and humidity sensor. The system continuously collects vital health parameters including heart rate, blood oxygen saturation levels, body temperature, and humidity. The collected data is transmitted wirelessly through Wi-Fi communication to a Firebase cloud database, which is further displayed on a web-based dashboard developed using React.js. An AI-powered healthcare assistant is also integrated into the dashboard to provide intelligent health analysis and recommendations. The system incorporates an emergency alert mechanism using a buzzer that activates when sensor readings cross predefined thresholds. The proposed system is particularly beneficial for elderly patients, individuals with chronic illnesses, and patients who require continuous health observation. The integration of embedded systems, cloud computing, and artificial intelligence in this project demonstrates a practical and scalable approach to modern smart healthcare development.

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