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Validation of Downloadable Mobile Snore Applications by Polysomnography (PSG).

Yi-Hsien ShiaoChung-Chieh YuYuan-Chieh Yeh
Published in: Nature and science of sleep (2024)
These findings suggest that some parameters of free snore applications can be employed to monitor OSA progress, and future research could involve adjusted algorithms and larger-scale studies to further authenticate these downloadable snore and sleep applications.
Keyphrases
  • obstructive sleep apnea
  • machine learning
  • positive airway pressure
  • physical activity
  • sleep apnea
  • current status
  • deep learning
  • sleep quality