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