Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data

Authors

• Nicholas Fong, University of California at San Francisco
• Michael S Lipnick, University of California at San Francisco
• Ella Behnke, University of California San Francisco Hypoxia Research Laboratory
• Yu Chou, University of California San Francisco Hypoxia Research Laboratory
• Seif Elmankabadi, University of California San Francisco Hypoxia Research Laboratory
• Lily Ortiz, University of California San Francisco Hypoxia Research Laboratory
• Christopher S Almond, Stanford University School of Medicine
• Isabella Auchus, University of California at San Francisco
• Garrett W Burnett, Perioperative & Pain Medicine Icahn School of Medicine
• Ronald Bisegerwa, University of California San Francisco Center for Health Equity in Surgery and Anesthesia
• Desireé R Conrad, Stanford University School of Medicine
• Carolyn M Hendrickson, University of California at San Francisco
• Shubhada Hooli, Baylor College of Medicine
• Robert Kopotic, ISO Oximeters Joint Working Group Co-convener, Rockville Pike, USA.
• Gregory Leeb, University of California San Francisco Hypoxia Research Laboratory
• Daniel Martin, Peninsula Medical School
• Eric D McCollum, Johns Hopkins University
• Ellis P Monk, Harvard University
• Kelvin L Moore, University of California San Francisco School of Medicine
• Leonid Shmuylovich, Division of Dermatology Washington University in Saint Louis
• J Brady Scott, Rush University
• An-Kwok Ian Wong, Duke University Department of Medicine
• Tianyue Zhou, University of California
• Romain Pirracchio, University of California at San Francisco
• Philip E Bickler, University of California at San Francisco
• John Feiner, University of California at San Francisco
• Tyler J Law, University of California at San Francisco

ORCID

• Daniel Martin: 0000-0001-6220-8235

Abstract

The OpenOximetry Dataset stores clinical and lab pulse oximetry data. It supports measurements of arterial oxygen saturation (SaO2) by arterial blood gas co-oximetry and pulse oximetry (SpO2), alongside processed and unprocessed photoplethysmography (PPG) data and other metadata. This includes skin color measurements, finger diameter, vital signs (e.g., arterial blood pressure, end-tidal carbon dioxide), and arterial blood gas parameters (e.g., acid-base balance, hemoglobin concentration). All data, from desaturation studies to clinical trials, are collected prospectively to ensure accuracy. A common data model and standardized protocols for consistent archival and interpretation ensure consistent data archival and interpretation. The dataset aims to facilitate research on pulse oximeter performance across diverse human characteristics, addressing performance issues and promoting accurate pulse oximeters. The initial release includes controlled lab desaturation studies (CLDS), with ongoing updates planned as further data from clinical trials and CLDS become available.

DOI Link

10.1038/s41597-025-04870-8

Publication Date

2025-04-03

Publication Title

Scientific data

Volume

12

Issue

1

Acceptance Date

2025-03-20

Deposit Date

2025-04-29

Funding

The Open Oximetry Project has been supported by the Gordon and Betty Moore Foundation, The Patrick J. McGovern Foundation, the Robert Wood Johnson Foundation, Unitaid through PATH, and USAID STAR. We would additionally like to extend our sincere gratitude to Odi Ehie, Elizabeth Namugaya Igaga, and Sandy Weininger for their valuable contributions to this project. AIW is supported by REACH Equity under the National Institute on Minority Health and Health Disparities (NIMHD) of the National Institutes of Health under U54MD012530. GWB is a recipient of the Medtronic Research Award. Medtronic was not involved in study design or any portion of the study. SH is supported by the National Heart, Lung, Blood Institute under K23HL169901. EPM is supported by DP2MH132941.

Additional Links

https://www.scopus.com/pages/publications/105002850028

Keywords

Oximetry, Humans, Oxygen Saturation, Photoplethysmography

First Page

570

Last Page

570

Recommended Citation

Fong, N., Lipnick, M., Behnke, E., Chou, Y., Elmankabadi, S., Ortiz, L., Almond, C., Auchus, I., Burnett, G., Bisegerwa, R., Conrad, D., Hendrickson, C., Hooli, S., Kopotic, R., Leeb, G., Martin, D., McCollum, E., Monk, E., Moore, K., Shmuylovich, L., Scott, J., Wong, A., Zhou, T., Pirracchio, R., Bickler, P., Feiner, J., & Law, T. (2025) 'Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data', Scientific data, 12(1), pp. 570-570. Available at: 10.1038/s41597-025-04870-8