Epileptic seizure prediction using successive variational mode decomposition and transformers deep learning network

HIGHLIGHTS

• who: Tinglin Zhang and Limei Zhang from the University of Electronic and of China, China have published the paper: Epileptic seizure prediction using successive variational mode decomposition and transformers deep learning network, in the Journal: (JOURNAL)
• what: In this paper, a multidimensional extension of SVMD is proposed to adaptively extract common intrinsic modes Frontiers in Neuroscience among all channels on different time scales. Only the power spectrum from 0 to 140 Hz is selected in this study, and the average of the power per 2 Hz is calculated as the final spectrum. Modes in different . . .
  

   

  

  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.