We have presented an analytical tool for the quality review of 10 publicly available photoplethysmography (PPG) datasets, based on 7 multi-varied decision metrics. Although all datasets were advertised to contain raw signals, the characteristics of the PPG data look quite diverse. Our developed tool enables to automatically analyze the suitability and applicability of datasets and helps to identify preprocessed and filtered signals with a limited evidence. The raw reference data, recorded with the MAX86140EVSYS# evaluation system, as well as the implemented Python tool, based on the presented 7 decision metrics, are available for download below, to support the reproducibility and the review of new datasets.
The developed analytical tool and the raw photoplethysmography reference
signals can be downloaded via the following links:
PPGraw Reference Data (Sciebo, 122 MB)
PPGraw Review Tool (GitHub)
You may use this data for scientific, non-commercial purposes, provided that you give credit to the owners when publishing any work based on this data. We would also be very interested to hear back from you if you use our data in any way and are happy to answer any questions or address any remarks related to it.