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

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.

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Institutions

Publication Details

Journal
Scientific Data
Published
2025-04-03
DOI
https://doi.org/10.1038/s41597-025-04870-8
Citations
3
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
2.02

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

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3 citations
Scientific Data
Non-Invasive Vital Sign Monitoring
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article

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

Robert J. Kopotic, Isabella Auchus, Christopher S. Almond, Carolyn M. Hendrickson, Kelvin Moore, Tyler J. Law, Romain Pirracchio, Michael S. Lipnick, J Brady Scott, Philip E. Bickler, Leonid Shmuylovich, DANIEL S. MARTIN, An-Kwok Ian Wong, Garrett W. Burnett, Ellis P. Monk, John Feiner, Nicholas Fong, Shubhada Hooli, Gregory Leeb, Yu Chou, Ronald Bisegerwa, Seif Elmankabadi, Lily Ortiz, Eric D McCollum, Ella Behnke, Desireé R Conrad, Tianyue Zhou
article en
3 citations

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.

Scientific DataVol. 12(1)
San Francisco General Hospital (US), Johns Hopkins University (US), Duke University (US), University of California, San Francisco (US), Baylor College of Medicine (US), Washington University in St. Louis (US), Johns Hopkins Medicine (US), Harvard University Press (US), Pulmonary and Allergy Associates (US), Stanford Medicine (US), Joint Research Center (ES), Rush University (US), New York University (US), University of San Francisco (US), University of Plymouth (GB), University of California, Berkeley (US), Stanford University (US)
United States Agency for International Development, Gordon and Betty Moore Foundation, National Institutes of Health, National Institute on Minority Health and Health Disparities
Clean water and sanitation
Openalex Percentile: Top 15%
Non-Invasive Vital Sign Monitoring
2.02
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