kid-ppg 0.0.4

A library for performing probabilistic heart rate extraction from photoplehysmography signals.

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.

Installation

KID-PPG is readily available in pip.

Install from pip

Install KID-PPG from pip
pip install kid-ppg

Install from source

Clone this directory
git clone https://github.com/esl-epfl/KID-PPG.git

Install the cloned repository
pip install ./KID-PPG

Usage

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.

Reference

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}
}