Published January 17, 2024
| Version v1
Annotation collection
Open
pyPPG benchmarking
Creators
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1.
Technion – Israel Institute of Technology
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2.
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
PPG-BP_annot.zip
Files
(261.8 MB)
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md5:1b03371ca9cfad39ab7209425673b351
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Additional details
Additional titles
- Alternative title
- PPG-BP dataset