OpenOximetry Repository

The OpenOximetry Repository is a structured database designed to store clinical and laboratory pulse oximetry data and allows for consolidation of data sets held by collaborating organizations. Matched or independent readings of oxygen saturations, arterial blood gas samples, high frequency processed and unprocessed waveforms, and other physiologic metadata are supported (e.g. skin color readings). Contribution of data to the repository is encouraged; a data dictionary and standardized data collection protocols are provided to ensure consistent data archival and interpretation. The goal of this dataset is to enable researchers to interrogate the effects of physiologic and device variables on pulse oximeter performance. 

A set of controlled desaturation studies is included in the initial release with ongoing updates planned as more data are available from both controlled lab desaturation studies and real world prospective clinical trials. Data captured during these studies may include paired pulse oximeter and arterial blood gas readings throughout a range of oxygen saturations, patient demographics and comorbidities, longitudinal quantitative and qualitative skin color measurement (using multiple methods  at multiple anatomic locations), finger diameter, continuous ECG, arterial blood pressure, EtCO2/EtO2, unprocessed photoplethysmography (PPG), pH, PaCO2, hemoglobin, met-Hgb, CO-Hgb, respiratory rate and multiple other variables depending on the data source

开放血氧饱和度数据库（OpenOximetry Repository）是一项旨在存储临床和实验室脉搏血氧饱和度数据的结构化数据库，旨在允许协作组织的数据集整合。该数据库支持匹配或独立读取的氧饱和度、动脉血气样本、高频处理与非处理波形以及其他生理学元数据（例如肤色读取）。鼓励向该数据库贡献数据；提供数据字典和标准化的数据收集协议，以确保数据归档和解释的一致性。本数据集的目标是使研究者能够探究生理变量和设备变量对脉搏血氧计性能的影响。初始发布版中包含了一组受控缺氧研究，并计划随着更多来自受控实验室缺氧研究和现实世界前瞻性临床试验的数据可用而进行持续更新。在这些研究中捕获的数据可能包括一系列氧饱和度下的成对脉搏血氧计和动脉血气读数、患者人口统计学和合并症、纵向定量和定性肤色测量（在多个解剖部位使用多种方法进行）、手指直径、连续心电图、动脉血压、呼气末二氧化碳/氧分压、未处理的光体积描记图（PPG）、pH值、PaCO2、血红蛋白、代谢血红蛋白、CO血红蛋白、呼吸频率以及根据数据来源的其他多个变量。