CPAP Pressure and Flow Data from a Local Trial of 30 Adults at the University of Canterbury

A pressure and flow dataset for CPAP (continuous positive airway pressure)
breathing obtained from 30 subjects for model-based identification of patient-
specific lung mechanics using a specially designed sensor system comprising an
array of differential pressure sensors (Sensirion AG SDP816-125PA) and gauge
pressure sensors (NXP MPVZ4006GW7U). Relevant medical information was
collected using a questionnaire, including: sex; age; weight; height; smoking
history; and history of asthma. Subjects were tasked with breathing at five
different rates (including passive) from very slow to very fast breathing,
matched to an online pacing sound and video, at two different levels of CPAP
(4 and 7 cmH2O) for between 50 and 180 seconds depending on rate. Each data
set for a breathing rate comprises ~17 breaths, including rest periods between
breathing rates and CPAP levels. Data with significant observed sensor error
was removed during processing. A better-fitted mask would be expected to
reduce error in fully capturing expiration by reducing leaks around the masks
seal with the face. The sensors measure inspiration and expiration using
separate unidirectional differential flow sensors, which are combined in post-
processing to for complete breathing data.