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Fusion of Whole Night Features and Desaturation Segments Combined with Feature Extraction for Event-Level Screening of Sleep-Disordered Breathing.

Ruhan LiuChenyang LiHuajun XuKejia WuXinyi LiYupu LiuJie YuanLili MengJianyin ZouWeijun HuangHongliang YiBin ShengJian GuanShankai Yin
Published in: Nature and science of sleep (2022)
signals can accurately screen for SDB.
Keyphrases
  • machine learning
  • high throughput
  • deep learning
  • sleep quality
  • neural network
  • physical activity
  • depressive symptoms