Researchers from TU Eindhoven, Philips Research and the Máxima MC are working within the Eindhoven MedTech Innovation Center (e/MTIC) on improving the monitoring of vulnerable newborns. This research is funded by NWO through the ALARM project and supported by PPS funding via the PISANO project of Holland High Tech. Although the PISANO project will run until 2026, it is already providing valuable insights. One of the research lines focuses on new methods to better detect central apneas (breathing problems) in premature babies. Results of this study have now been published on ScienceDirect.
Central apneas often trigger false alarms in neonatal intensive care units, disrupting babies’ sleep and leading to ‘alarm fatigue’ among caregivers. The study shows that by using artificial neural networks, the number of false alarms can be significantly reduced while maintaining high reliability of detection. This makes the monitoring of newborns more accurate and less burdensome.
The full publication Improving central apnea detection in preterm infants: neural network strategies and clinical impact, is available to read and download via ScienceDirect:
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