A few-shot learning-based eeg and stage transition sequence generator for improving sleep staging performance

HIGHLIGHTS

• who: Yuyang You and colleagues from the Beijing Institute of Technology, School of Automation, Beijing, China Department of Electrical and Computer Engineering, Technical University of Munich have published the Article: A Few-Shot Learning-Based EEG and Stage Transition Sequence Generator for Improving Sleep Staging Performance, in the Journal: Biomedicines 2022, 3006 of /2022/
• what: In this study generative adversarial networks named SleepGAN are proposed to expand the training set for automatic sleep classification tasks by generating both electroencephalogram (EEG) epochs and relationships of sleep stages. The authors propose a set ofa EEG-oriented progressive . . .
  

   

  

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