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NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG.

Cheol-Hui LeeHakseung KimHyun-jee HanMinkyung JungByung C. YoonDong-Joo Kim
Published in: CoRR (2024)
Keyphrases
  • sleep stage
  • single channel
  • multi channel
  • pattern recognition
  • prior knowledge
  • feature extraction
  • pattern classification
  • edge information
  • eeg signals
  • sleep apnea