Early bradycardia detection and therapeutic interventions in preterm infant monitoring

Matthieu Doyen1, Alfredo I Hernández2, Cyril Flamant3

  • 1Univ Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, 35000, Rennes, France.

Scientific Reports
|May 19, 2021
PubMed

Insights

This study introduces an early bradycardia detector for very preterm infants, significantly reducing detection delays without compromising accuracy. This advancement aims to improve interventions and potentially reduce sepsis risk in neonatal intensive care units.

Area of Science:

  • Neonatal Medicine
  • Biomedical Engineering
  • Pediatric Cardiology

Background:

  • Cardio-respiratory events and hypoxemia in preterm infants increase risks of retinopathy, growth, and neurodevelopmental issues.
  • Continuous cardio-respiratory monitoring in neonatal intensive care units (NICU) detects bradycardia, triggering nurse interventions.
  • Current bradycardia detection methods yield high false alarms and missed interventions.

Purpose of the Study:

  • To develop and evaluate an early bradycardia detector for very preterm infants in the NICU.
  • To improve automatic detection performance under real-life conditions.
  • To reduce detection delay compared to standard NICU monitors.

Main Methods:

  • Acquired monitoring data from 52 preterm infants in the NICU.
  • Developed a decentralized fusion of three detectors for bradycardia detection.
  • Defined bradycardia as heart rate < 80 bpm for at least 10 seconds.

Main Results:

  • The proposed detector achieved a significant 2.9-second decrease in detection delay.
  • Sensitivity was maintained at 97.6% (vs. 95.2% for standard monitors).
  • False alarm rate was comparable at 63.7% (vs. 64.1% for standard monitors).

Conclusions:

  • The early bradycardia detector shows promise for improving neonatal care.
  • Reduced detection delay may enhance infant response to interventions.
  • Potential for developing new automatic therapeutic strategies to complement manual care and reduce sepsis risk.

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