Arch Dis Child Fetal Neonatal Ed
September 2022
Objective: To study the feasibility of automated titration of oxygen therapy in the delivery room for preterm infants.
Design: Prospective non-randomised study of oxygenation in sequential preterm cohorts in which FiO was adjusted manually or by an automated control algorithm during the first 10 min of life.
Setting: Delivery rooms of a tertiary level hospital.
Arch Dis Child Fetal Neonatal Ed
January 2022
Objective: To evaluate the performance of a rapidly responsive adaptive algorithm (VDL1.1) for automated oxygen control in preterm infants with respiratory insufficiency.
Design: Interventional cross-over study of a 24-hour period of automated oxygen control compared with aggregated data from two flanking periods of manual control (12 hours each).
Objective: To assess the performance of a novel algorithm for automated oxygen control using a simulation of oxygenation founded on in vivo data from preterm infants.
Methods: A proportional-integral-derivative (PID) control algorithm was enhanced by (i) compensation for the non-linear SpO-PaO relationship, (ii) adaptation to the severity of lung dysfunction and (iii) error attenuation within the target range. Algorithm function with and without enhancements was evaluated by iterative linking with a computerised simulation of oxygenation.
Objective: To evaluate the performance of a novel rapidly responsive proportional-integral-derivative (PID) algorithm for automated oxygen control in preterm infants with respiratory insufficiency.
Design: Interventional study of a 4-hour period of automated oxygen control compared with combined data from two flanking periods of manual control (4 hours each).
Setting: Neonatal intensive care unit.