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This paper is in the following e-collection/theme issue:

Systematic Review Protocols (745) mHealth for Data Collection and Research (1730) Wearable Devices and Sensors (1589) Digital Health Reporting Standards, Quality and Transparency in e-Research (224) Open Source and Data for Public Health (90) Systemic Racism and Racial Bias in Health Care and Society (156) Big Data for Health Promotion and Health Equity (74)

Published on in Vol 14 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73040, first published .
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Evaluating Diversity in Open Photoplethysmography Datasets: Protocol for a Systematic Review

Evaluating Diversity in Open Photoplethysmography Datasets: Protocol for a Systematic Review

Authors of this article:

Vedha Penmetcha1, 2 Author Orcid Image ;   Lekaashree Rambabu3, 4, 5 Author Orcid Image ;   Brandon G Smith1, 6, 7 Author Orcid Image ;   Orla Mantle1, 7, 8 Author Orcid Image ;   Thomas Edmiston1 Author Orcid Image ;   Laura Hobbs1, 7, 9 Author Orcid Image ;   Shobhana Nagraj1, 6, 7, 10, 11, 12 Author Orcid Image ;   Peter H Charlton11 Author Orcid Image ;   Tom Bashford1, 4, 6, 7 Author Orcid Image
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Journals

  1. Galindo Chicaiza T, Tobar Subía Contento L, Gámez Aparicio B, Ciaccia Sortino M, Mejía Echeverría C, Ortiz Morales D. Non-Invasive Blood Density Measurement using Photoplethysmography Technique. Data and Metadata 2025;4:819 View
  2. Yang C, Xie J, He Z, Li J, Liu C. Mechanical Contact Conditions in Wearable Reflectance Photoplethysmography: Scoping Review. JMIR mHealth and uHealth 2026;14:e99333 View