The PPG EduKit is an evaluation platform aiming to acquire the PPG signal from the finger(s) for research and educational purposes. The PPG EduKit gives the user full control and understanding over the different steps needed to acquire, condition, visualize and process the raw PPG signals which are then used to extract meaning-ful physiological information. The modular approach of the platform facilitates the support of different embedded devices such as Arduino and PSoC 6 platform, to perform digital signal processing operations needed for the multiple PPG applications. The components of the PPG EduKit are grouped in two main blocks: the analog front-end and the digital back-end.
The PPG EduKit platform can be used as a shield for any Arduino board as long as the microcontroller runs with a logic level voltage of 3V3. Do not use the PPG EduKit with microcontrollers that have a logic level voltage of 5V, like the Arduino UNO. The platform can be also used with CY8CPROTO-063-BLE Prototyping Kit (Cypress/Infineon) using the bridge adaptor.
Angel Solé Morillo, Joan Lambert Cause, Vlad-Eusebiu Baciu, Bruno da Silva, Juan Carlos Garcia-Naranjo and Johan Stiens, PPGEduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities, In Sensors MDPI, 2022
If you find any of the ideas/codes useful for your research, please cite our paper:
@article{morillo2022ppgedukit,
title={PPG EduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities},
author={Sole Morillo, Angel, Lambert Cause, Joan, Baciu, Vlad-Eusebiu, da Silva, Bruno, Garcia-Naranjo, Juan Carlos and Stiens, Johan },
journal={Sensors MDPI},
year={2022}
}