Automatic detection of microsleep episodes with deep learning

HIGHLIGHTS

• who: Peter Achermann from the Institute of Pharmacology and Toxicology, University of, Switzerland, Neuroscience Center, University have published the paper: Automatic Detection of Microsleep Episodes With Deep Learning, in the Journal: (JOURNAL)
• what: In most of the studies, the latency to sleep stage N1 or any other stages of sleep is used as a definition for objective sleepiness (Correa et_al, 2014; Sauvet et_al, 2014; Sriraam et_al, 2016). The aim of this work was to implement a deep learning approach using raw data as input. The authors are aiming to detect MSEs. The authors provide a . . .
  

   

  

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