Development and preclinical testing of an adaptive algorithm for automated control of inspired oxygen in the preterm infant

摘要: Objective To assess the performance of a novel algorithm for automated oxygen control using simulation oxygenation founded on in vivo data from preterm infants. Methods A proportional–integral–derivative (PID) was enhanced by (i) compensation non-linear SpO 2 –PaO relationship, (ii) adaptation to severity lung dysfunction and (iii) error attenuation within target range. Algorithm function with without enhancements evaluated iterative linking computerised oxygenation. Data this (FiO at 1 Hz) were sourced extant recordings infants (n=16), converted datastream values ventilation:perfusion ratio shunt. Combination second FiO under test produced sequence values, allowing time range (91%–95%) various degrees hypoxaemia hyperoxaemia be determined. PID 30 s lockout after each adjustment, proportional–derivative (PD) also evaluated. Results Separate addition enhancing feature showed benefit, but not uniformly positive effects. The fully optimal combination targeting desired avoiding in, episodes of, hyperoxaemia. This performed better than one lockout, considerably PD control. Conclusions An very effective oxygenation, deserves clinical evaluation.