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L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets.

Prabal Datta BaruaIlknur TuncerEmrah AydemirOliver FaustSubrata ChakrabortyVinithasree SubbhuraamTurker TuncerSengul DoganUdyavara Rajendra Acharya
Published in: Diagnostics (Basel, Switzerland) (2022)
The recommended L-tetrolet pattern and TSRFINCA-based model push the envelope of current knowledge engineering by accurately classifying sleep stages even in the presence of sleep disorders.
Keyphrases
  • sleep quality
  • physical activity
  • healthcare
  • machine learning
  • deep learning
  • functional connectivity
  • working memory
  • resting state
  • depressive symptoms