KID-PPG: Knowledge-Informed Deep Learning for Extracting Heart Rate from Photoplethysmography Signals
KID-PPG is the first ever publicly available pre-trained deep learning model for PPG Heart Rate inference, proposed here.
KID-PPG is readily available in pip.
Install KID-PPG from pip
pip install kid-ppg
Clone this directory
git clone https://github.com/esl-epfl/KID-PPG.git
Install the cloned repository
pip install ./KID-PPG
For an introductory demo on how to use KID-PPG for heart rate extraction check this Google Colab Demo. The matplotlib
python package is
required to run the demo.
Please use the following Bibtext entry to cite KID-PPG.
@article{kechris2024kid,
title={KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch},
author={Kechris, Christodoulos and Dan, Jonathan and Miranda Calero, Jos{\'e} Angel and Atienza Alonso, David},
year={2024}
}