
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.
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