Low-Cost Edge Based Patient Health Monitoring System with Automated Alert Driven Notification

Abstract—The growing demand for affordable healthcare monitoring systems has increased the need for compact and low-cost patient monitoring solutions. This paper presents a low-cost edge-based patient health monitoring system using an ESP32 microcontroller for on-demand physiological data acquisition and processing. The proposed system integrates multiple sensors including MAX30100 for heart rate and blood oxygen saturation (SpO₂), DS18B20 for body temperature measurement,and BMP280 for environmental parameters such as room temperature and atmospheric pressure. The collected data are processed locally using edge computing principles and displayed through a web-based interface hosted on the ESP32. To enhance user awareness, an automated alert mechanism is implemented using a Telegram bot, which sends notifications when the measured parameters exceed predefined threshold limits. Unlike many existing systems that rely heavily on cloud infrastructure, the proposed design minimizes dependency on external servers while maintaining reliable monitoring capability. The system is compact, energy efficient, and developed with a low total hardware cost , making it suitable for low-cost personal health monitoring applications. Experimental results demonstrate the feasibility of the proposed system for real-time multiparameter health observation with minimal latency.