An accessible and versatile deep learning-based sleep stage classifier

HIGHLIGHTS

• who: Jevri Hanna from the Charles Sturt University, Australia have published the research: An accessible and versatile deep learning-based sleep stage classifier, in the Journal: (JOURNAL)
• what: The CFS (Redline et_al, 1995) is a longitudinal study focusing on sleep_apnea in the United_States. For the DREEM dataset only, the authors report the performance of two other state of the art classifiers, U-Sleep (Perslev et_al, 2021) and that of Stephansen et_al , using data kindly provided to the authors by Raphael Vallat (Vallat and Walker, 2021).
• how: Indicated that inferences with high certainty also . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.