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

doi:10.1038/s41597-025-04870-8

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

Peninsula Medical School

Research output: Contribution to journal › Article › peer-review

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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 language	English
Article number	570
Pages (from-to)	570
Number of pages	1
Journal	Scientific data
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41597-025-04870-8
Publication status	Published - 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

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10.1038/s41597-025-04870-8

s41597-025-04870-8Final published version, 1.61 MB

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Fong, N., Lipnick, M. S., Behnke, E., Chou, Y., Elmankabadi, S., Ortiz, L., Almond, C. S., Auchus, I., Burnett, G. W., Bisegerwa, R., Conrad, D. R., Hendrickson, C. M., Hooli, S., Kopotic, R., Leeb, G., Martin, D., McCollum, E. D., Monk, E. P., Moore, K. L., ... Law, T. J. (2025). Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data. Scientific data, 12(1), 570. Article 570. https://doi.org/10.1038/s41597-025-04870-8

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title = "Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data",

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.",

keywords = "Oximetry, Humans, Oxygen Saturation, Photoplethysmography",

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

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year = "2025",

month = apr,

day = "3",

doi = "10.1038/s41597-025-04870-8",

language = "English",

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pages = "570",

journal = "Scientific data",

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Fong, N, Lipnick, MS, Behnke, E, Chou, Y, Elmankabadi, S, Ortiz, L, Almond, CS, Auchus, I, Burnett, GW, Bisegerwa, R, Conrad, DR, Hendrickson, CM, Hooli, S, Kopotic, R, Leeb, G, Martin, D, McCollum, ED, Monk, EP, Moore, KL, Shmuylovich, L, Scott, JB, Wong, A-KI, Zhou, T, Pirracchio, R, Bickler, PE, Feiner, J & Law, TJ 2025, 'Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data', Scientific data, vol. 12, no. 1, 570, pp. 570. https://doi.org/10.1038/s41597-025-04870-8

TY - JOUR

T1 - Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data

AU - Fong, Nicholas

AU - Lipnick, Michael S

AU - Behnke, Ella

AU - Chou, Yu

AU - Elmankabadi, Seif

AU - Ortiz, Lily

AU - Almond, Christopher S

AU - Auchus, Isabella

AU - Burnett, Garrett W

AU - Bisegerwa, Ronald

AU - Conrad, Desireé R

AU - Hendrickson, Carolyn M

AU - Hooli, Shubhada

AU - Kopotic, Robert

AU - Leeb, Gregory

AU - Martin, Daniel

AU - McCollum, Eric D

AU - Monk, Ellis P

AU - Moore, Kelvin L

AU - Shmuylovich, Leonid

AU - Scott, J Brady

AU - Wong, An-Kwok Ian

AU - Zhou, Tianyue

AU - Pirracchio, Romain

AU - Bickler, Philip E

AU - Feiner, John

AU - Law, Tyler J

PY - 2025/4/3

Y1 - 2025/4/3

N2 - 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.

AB - 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.

KW - Oximetry

KW - Humans

KW - Oxygen Saturation

KW - Photoplethysmography

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

UR - https://pearl.plymouth.ac.uk/pms-research/1829/

U2 - 10.1038/s41597-025-04870-8

DO - 10.1038/s41597-025-04870-8

M3 - Article

C2 - 40180919

SN - 2052-4463

VL - 12

SP - 570

JO - Scientific data

JF - Scientific data

IS - 1

M1 - 570

ER -

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

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ASJC Scopus subject areas

Keywords

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