Sleep stage classification in children using self-attention and gaussian noise data augmentation

HIGHLIGHTS

• who: Xinyu Huang et al. from the Institute of Medical Informatics, University of Lu00fcbeck, Ratzeburger Allee, Lu00fcbeck, Germany have published the Article: Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation, in the Journal: Sensors 2023, 23, 3446. of 27/02/2023
• what: Specifically, considering that Gaussian Noise (GN) is statistical noise in the normal distribution and Gaussian random events are very common in nature, the authors implement Gaussian Noise Data Augmentation (GNDA) that injects GN into PSG recordings of each segment for a minority class during training . The idea is . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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