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Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state.

Dandan ZhangZheng PengShaoxiong SunCarola van PulCaifeng ShanJeroen DudinkPeter AndriessenRonald M AartsXi Long
Published in: Acta paediatrica (Oslo, Norway : 1992) (2024)
Cardiorespiratory interactions contributed to detecting quiet sleep and motion features contributed to detecting wake states. This combination improved the automated classifications of sleep states.
Keyphrases
  • preterm infants
  • sleep quality
  • physical activity
  • machine learning
  • deep learning
  • body composition
  • high intensity
  • low birth weight
  • high throughput
  • depressive symptoms