Fermion: MAX30102 PPG Heart Rate and Oximeter Sensor V2.0 (Breakout, I2C / UART)

This Fermion MAX30102 PPG heart rate and oximeter sensor integrates the Maxim MAX30102 optical sensor and an onboard microcontroller with embedded heart rate and blood oxygen algorithms. By utilising PPG (PhotoPlethysmoGraphy) technology, this biometric sensor captures pulse and SpO2 data and directly outputs processed values through I2C or UART communication, significantly reducing computational resource usage on the main controller.

Integrated Heart Rate and Oximetry Algorithm

This MAX30102 biometric sensor features an onboard MCU that processes raw optical signals internally, enabling direct acquisition of heart rate and blood oxygen values without requiring complex algorithm development. This integrated architecture simplifies wearable health monitoring projects and accelerates prototype deployment for makers and embedded developers.

Flexible I2C and UART Communication

This PPG heart rate sensor supports both I2C and UART communication interfaces, ensuring compatibility with a wide range of development platforms including Arduino, ESP32, and Raspberry Pi. Direct data output enables fast integration into portable health electronics and IoT monitoring systems.

Convenient Upper Computer Data Visualization

This optical pulse sensor provides upper computer support for direct PC-based data visualization and monitoring. Developers can conveniently observe heart rate and SpO2 measurements in real time during system debugging, testing, and long-term monitoring experiments.

Combining compact dimensions, low power consumption, and integrated biometric processing, this MAX30102 sensor module is suitable for wearable electronics, portable healthcare devices, smart fitness systems, and long-term physiological monitoring applications requiring reliable pulse and blood oxygen measurement.

This demo device collects body temperature, oxygen saturation level, weight, and blood pressure and sends this parameter to AWS cloud. For collecting sensor data and sending it to AWS I used the AVR-IoT-WA development board.