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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)570
JournalScientific data
Volume12
Issue number1
DOIs
Publication statusPublished - 3 Apr 2025
Externally publishedYes

Keywords

  • Oximetry
  • Humans
  • Oxygen Saturation
  • Photoplethysmography

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