Skip to main navigation Skip to search Skip to main content

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 Shmuylovich
  • J Brady Scott, An-Kwok Ian Wong, Tianyue Zhou, Romain Pirracchio, Philip E Bickler, John Feiner, Tyler J Law
  • University of California at San Francisco
  • University of California San Francisco Hypoxia Research Laboratory
  • University of California San Francisco School of Medicine
  • University of California San Francisco Center for Health Equity in Surgery and Anesthesia
  • Stanford University School of Medicine
  • Perioperative & Pain Medicine Icahn School of Medicine
  • Baylor College of Medicine
  • ISO Oximeters Joint Working Group Co-convener, Rockville Pike, USA.
  • University of Plymouth
  • Johns Hopkins University
  • Harvard University
  • Division of Dermatology Washington University in Saint Louis
  • Rush University
  • Duke University Department of Medicine
  • Duke University Department of Biostatistics and Bioinformatics
  • University of California

Research output: Contribution to journalArticlepeer-review

1 Downloads (Pure)

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
Article number570
Pages (from-to)570
Number of pages1
JournalScientific data
Volume12
Issue number1
DOIs
Publication statusPublished - 3 Apr 2025

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

Keywords

  • Oximetry
  • Humans
  • Oxygen Saturation
  • Photoplethysmography

Fingerprint

Dive into the research topics of 'Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data'. Together they form a unique fingerprint.

Cite this