Data from: New physiological bench test reproducing noctural breathing pattern of patients with sleep disordered breathing

Previous studies have shown that Automatic Positive Airway Pressure (APAP)
devices display different behaviors when connected to a bench using
theoretical respiratory cycle scripts. However, these scripts are limited
and do not simulate physiological behavior during the night. Our aim was
to develop a physiological bench that is able to simulate patient
breathing airflow by integrating polygraph data. We developed an algorithm
analyzing polygraph data and transformed this information into digital
inputs required by the bench hardware to reproduce a patient breathing
profile on bench. The inputs are respectively the simulated respiratory
muscular effort pressure input for an artificial lung and the sealed
chamber pressure to regulate the Starling resistor. We did simulations on
our bench for a total of 9 hours and 23 minutes for a breathing profile
from the demonstration recording of a Nox T3 Sleep Monitor. The simulation
performance results showed that in terms of relative peak-valley amplitude
of each breathing cycle, simulated bench airflow was biased by only 1.48%
± 6.8% compared to estimated polygraph nasal airflow for a total of 6,479
breathing cycles. For total respiratory cycle time, the average bias ±
standard deviation was 0.000 ± 0.288 seconds. For patient apnea events,
our bench simulation had a sensitivity of 84.7% and a positive predictive
value equal to 90.3%, considering 149 apneas detected both in polygraph
nasal airflow and simulated bench airflow. Our new physiological bench can
personalize APAP device selection to each patient by taking into account
individual characteristics of a sleep breathing profile.