Closed-Loop Control of Inspired Oxygen in Ventilated Newborn Infants
The oxygen delivery to the sick newborn infant must be adjusted very closely in order to grant adequate tissue oxygenation while minimizing possible toxic effects of supplying oxygen.
Correct FiO2 settings are achieved by manual adjusting the FiO2 according to the measured SaO2. In some patients this requires frequent adjustments within short intervals. In order to reduce the strain frequent alarms and FiO2 adjustments, we often notice generous SaO2 limits resulting in an oversupply of oxygen. We therefore consider manual adjustments of the FiO2 not as an optimal solution.
The aim of our project was to develop a continuously operating automated FiO2 Controller for optimizing the oxygen delivery to the newborn infant. The automated FiO2 controller will adjust the FiO2 settings based on the continuous transcutaneous SaO2 measurements. During each control cycle, data are read from the monitor, validated, and in case preset SaO2 limits are exceeded or fall short of, the FiO2 is adjusted accordingly.
The FiO2 controller is not designed to replace personal monitoring of the newborn infant by nurses and physicians. In case of a rapid change of the SaO2 requiring immediate personal intervention, monitoring alarms are issued. The FiO2 controller is not designed for emergency interventions but for optimizing oxygen delivery during "quiet" intervals.
The Project Team
The project is a joint cooperation of the
Department of Medical Cybernetics and
Artificial Intelligence (IMKAI),
Austrian Research Institute for
Artificial Intelligence (OFAI),
- Department of Software Technology, Vienna University of Technology
- the Department of Pedriatics
of the University of Vienna (NICU),
Department of Neonatology, University Hospital Tübingen, Germany,
- the Department of Pediatrics,
Hospital of Mödling (former partner),
Department of Neonatology and Pediatric Pulmonology, School of Medicine,
Hannover, Germany (former partner).
- Werner Horn, IMKAI & ÖFAI
- Harald Leitich, NICU (former member)
- Silvia Miksch, IFS
- Franz Paky, Mödling (former member)
- Christian Poets, Tübingen
- Christian Popow, NICU
- Caroline Renault, ÖFAI (former member)
- Andi Seyfang, IFS
- Michael Urschitz, Tübingen and NICU
Urschitz M.S., Horn W., Seyfang A., Hallenberger A., Herberts T., Miksch S., Popow C., Mueller-Hansen I., Poets C.F.: Automatic Control of the Inspired Oxygen Fraction in Preterm Infants. A Randomized Cross-over Trial, Am. J. Respir. Crit. Care Med., 170(10):1095-1100, 2004.
Seyfang A., Miksch S., Horn W., Urschitz M.S., Popow C., Poets C.F.:
Using Time-Oriented Data Abstraction Methods to Optimize Oxygen
Supply for Neonates, in Quaglini S., et al.(eds.), Artificial
Intelligence in Medicine, Proceedings of the 8th Conference on
Artificial Intelligence in Medicine in Europe (AIME-2001),
- Seyfang A., Miksch S., Horn W., Urschitz M., Popow C., Poets C.F.:
Using Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for
Neonates, ÖFAI TR-2001-03, 2001.
- Miksch S., Seyfang A., Horn W., Popow C.: Abstracting Steady Qualitative
Descriptions over Time from Noisy, High-Frequency Data, in Horn W. et al.
(eds.), Artificial Intelligence in Medicine, Springer, Berlin, pp.281-290,
Werner Horn (email: firstname.lastname@example.org)