Design and Implementation of a Compact IoT-Based Pulse Oximeter Using MAX30102 and NodeMCU for Remote Health Monitoring

In this study, we present the development of a compact, cost-effective IoT-enabled pulse oximeter for remote health monitoring. Using the MAX30102 sensor and the NodeMCU ESP8266 microcontroller, we designed a system capable of continuously measuring blood oxygen saturation (SpO₂) and heart rate (BPM) in real-time. Data is transmitted wirelessly via Wi-Fi to the Blynk IoT platform, allowing real-time visualization on a mobile device. The system was assembled using readily available components and configured in the Arduino IDE. Experimental results demonstrate reliable measurement performance in both static and mobile conditions, indicating the system's potential for personal and clinical use.