Authors: Manvir Kaur, Gurpreet Singh, Varuna Tyagi
Abstract: The rapid advancement of digital technologies has transformed healthcare, demanding intelligent and automated health monitoring systems. Traditional healthcare infrastructures often face challenges such as limited medical staff, delayed diagnosis, and lack of real-time monitoring. This research proposes an Internet of Things (IoT)-based advanced health monitoring system using the MAX30100 sensor for continuous measurement of heart rate (HR) and blood oxygen saturation (SpO₂). The system leverages microcontrollers such as Arduino and ESP32 for sensor interfacing and wireless data transmission to cloud platforms for real-time visualization, processing, and storage. Signal processing techniques, including noise filtering, peak detection, and smoothing, ensure accurate measurement. The proposed system addresses limitations of existing commercial devices by providing a low-cost, reliable, and scalable solution for remote patient monitoring, early disease detection, and data-driven healthcare management.
