NeurosciencebioRxivPreprint
Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network
Lachlan D Barnes, Kevin Lee, Andreas W. Kempa-Liehr, Luke E. Hallum
This paper develops an explainable CNN to detect sleep apnea from single-channel EEG with 76.7% accuracy and 0.54 MCC, showing it learns delta and beta band biomarkers.