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Studying Sleep: Towards the Identification of Hypnogram Features that Drive Expert Interpretation.

Caspar van der WoerdHans van GorpSylvie DujardinManuel SastryHumberto Garcia CaballeroFokke B van MeulenStef van den ElzenSebastiaan OvereemPedro Fonseca
Published in: Sleep (2023)
By comparing hypnograms not solely on an epoch-by-epoch basis, but also on these more specific features that are relevant for the evaluation of experts, performance assessment of (automatic) sleep-staging and surrogate sleep trackers may be improved. In particular, sleep fragmentation is a feature that deserves more attention as it is often not included in the PSG report, and existing (wearable) sleep trackers have shown relatively poor performance on this aspect.
Keyphrases
  • sleep quality
  • physical activity
  • machine learning
  • deep learning
  • lymph node
  • blood pressure
  • heart rate
  • depressive symptoms
  • pet ct