A deep transfer learning framework for sleep stage classification with single-channel eeg signals

HIGHLIGHTS

• who: Hisham ElMoaqet et al. from the Department of Mechatronics Engineering, German Jordanian University, Amman, Jordan Interdisciplinary Center of Sleep Medicine, Charitu00e9-Universitu00e4tsmedizin Berlin, Berlin, Germany have published the research: A Deep Transfer Learning Framework for Sleep Stage Classification with Single-Channel EEG Signals, in the Journal: Sensors 2022, 22, 8826. of /2022/
• what: The authors develop a deep transfer learning (DTL) framework for automated scoring of sleep stages using a single EEG channel only. The authors investigate the proposed DTL framework with different detection and training scenarios. The authors evaluate the DTL model on . . .
  

   

  

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