ESP32-Powered PPG Signal Acquisition: Open-Source Hardware and Software (www.mdpi.com)

A new open-source project has emerged, utilizing the ESP32 microcontroller for the acquisition of photoplethysmography (PPG) signals, critical for monitoring cardiac activity. This initiative is significant for the AI/ML community as it makes advanced biomedical signal processing accessible through a low-cost, portable solution. By integrating a graphical user interface (GUI), the project allows users to visualize, acquire, and analyze PPG signals in real time, supporting research and educational applications. The system features an efficient design, utilizing an infrared LED as a sensor alongside processing capabilities directly on the ESP32, enabling standalone functionality with low power consumption. The accessible software includes robust libraries for data filtering and heart rate variability analysis, allowing for flexible experimentation and easy data export. This innovative approach promotes transparency, collaboration, and reproducibility in physiological monitoring, addressing the limitations of existing proprietary systems that often rely on expensive software and hardware. Consequently, this open-source tool is poised to enhance the field of wearable health technology, making PPG monitoring more user-friendly and widespread.