Login / Signup

Automatic wavelet-based assessment of behavioral sleep using multichannel electrocorticography in rats.

Anastasiya RunnovaMaksim ZhuravlevAnton R KiselevRodion UkolovKirill SmirnovAnatoly KaravaevEvgenia Sitnikova
Published in: Sleep & breathing = Schlaf & Atmung (2021)
These findings suggest that automatic wavelet-based assessment of behavioral sleep can be used for assessment of sleep quality. Current analysis indicates a temporal relationship between microarousals, sleep, and epileptic discharges in genetically prone subjects.
Keyphrases
  • sleep quality
  • physical activity
  • depressive symptoms
  • deep learning
  • machine learning
  • convolutional neural network
  • neural network