Published February 21, 2024 | Version v2
Annotation collection Open

pyPPG benchmarking

Authors/Creators

  • 1. ROR icon Technion – Israel Institute of Technology
  • 2. ROR icon University of Cambridge

Description

This content entails the manual annotation of PPG fiducial points on the PPG-BP dataset by two independent annotators (Marton A. Goda and Peter H. Charlton). We evaluated the performance of the pyPPG toolbox in comparison to two other toolboxes (PPGFeat and PulseAnalyse). For additional information, kindly visit the https://pyppg.readthedocs.io/ website.


If you use the pyPPG resource, please cite:

  • 10.5281/zenodo.10523285
  • Goda, M. A., Charlton, P. H., & Behar, J. A. (2023). pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis. arXiv preprint arXiv:2309.13767.

Files

results.zip

Files (255.1 MB)

Name Size Download all
md5:b6d68542ab04b282fe4609663a643229
255.1 MB Preview Download

Additional details

Additional titles

Alternative title
PPG-BP dataset