Fong Nicholas, Lipnick Michael S, Behnke Ella, Chou Yu, Elmankabadi Seif, Ortiz Lily, Almond Christopher S, Auchus Isabella, Burnett Garrett W, Bisegerwa Ronald, Conrad Desireé R, Hendrickson Carolyn M, Hooli Shubhada, Kopotic Robert, Leeb Gregory, Martin Daniel, McCollum Eric D, Monk Ellis P, Moore Kelvin L, Shmuylovich Leonid, Scott J Brady, Wong An-Kwok Ian, Zhou Tianyue, Pirracchio Romain, Bickler Philip E, Feiner John, Law Tyler J
Department of Anesthesia and Perioperative Care, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, USA.
University of California San Francisco Hypoxia Research Laboratory, San Francisco, USA.
Sci Data. 2025 Apr 3;12(1):570. doi: 10.1038/s41597-025-04870-8.
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.
开放脉搏血氧饱和度数据集存储临床和实验室脉搏血氧饱和度数据。它支持通过动脉血气共血氧测定法和脉搏血氧测定法（SpO2）测量动脉血氧饱和度（SaO2），以及已处理和未处理的光电容积脉搏波描记法（PPG）数据和其他元数据。这包括皮肤颜色测量、手指直径、生命体征（如动脉血压、呼气末二氧化碳）和动脉血气参数（如酸碱平衡、血红蛋白浓度）。从去饱和研究到临床试验的所有数据均前瞻性收集以确保准确性。通用数据模型和标准化协议用于一致的存档和解释，确保数据存档和解释的一致性。该数据集旨在促进针对不同人类特征的脉搏血氧仪性能研究，解决性能问题并推广精确的脉搏血氧仪。初始版本包括对照实验室去饱和研究（CLDS），随着来自临床试验和CLDS的更多数据可用，计划进行持续更新。
