Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

HIGHLIGHTS

• who: Muhammad Awais from the Video and VEEG data from seven neonates were collected retrospectively by a pediatrician at the Children's Hospital affiliated to Fudan University, Shanghai, China [25]The detailed descriptions of the demographics and physical conditions of the neonates are shown in Additional file, : Table, . Annotation of sleep and wake states was performed by a professional neurologist on each, sec VEEG epoch and video frames, respectively, according to the American Academy of Sleep Medicine (AASM) [26]. Intensity‑based detection have published the article: Can pre-trained convolutional neural networks be directly used as a . . .
  

   

  

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