Detection of sleep apnea from single-channel electroencephalogram (eeg) using an explainable convolutional neural network (cnn)

HIGHLIGHTS

• who: Lachlan D. Barnes and colleagues from the Department of Mechanical and Mechatronics Engineering, University of Auckland, Auckland, New Zealand have published the research: Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network (CNN), in the Journal: PLOS ONE of November/29,/2021
• what: This dataset is publicly available via the National Sleep Research Resource which provides access to large collections of de-identified physiological signals for research purposes (https://sleepdata. org) . The authors have developed an explainable convolutional neural network (CNN) to detect SA events from single-channel . . .
  

   

  

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