• Deep learning in classifying sleep stages 

      Al-Meer M.H.; Al Mamun M.D.A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      This paper presents a deep feed-forward neural network classifier to automatically classify the stages of sleep using raw data taken from a single electropalatogram channel (Fpz-Cz). No features are extracted at all from ...
    • ROM-based inference method built on deep learning for sleep stage classification 

      AlMeer M.H.; Hassen H.; Nawaz N. ( UIKTEN - Association for Information Communication Technology Education and Science , 2019 , Article)
      We used a classical deep feedforward neural network (DFFNN) for an automatic sleep stage scoring based on a single-channel EEG signal. We used an open-available dataset, randomly selecting one healthy young adult for both ...