A fast, open eeg classification framework based on feature compression and channel ranking

HIGHLIGHTS

  • who: Jin Zhou and Changyong Wang from the Department Engineering and Biological Interdisciplinary Studies, Institute Cognition and Brain, University, Wuhan, China, Interface and Rehabilitation Research Center, Huazhong University Science have published the Article: A Fast, Open EEG Classification Framework Based on Feature Compression and Channel Ranking, in the Journal: (JOURNAL)
  • what: In light of this, as shown in Figure 1A, the authors propose a fast, open EEG classification framework characterized by feature compression, low-dimensional representation, and convergent iterative channel ranking. The authors provide an EEG classification framework applicable to most common EEG processing and . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?