A novel classification framework using the graph representations of electroencephalogram for motor imagery based brain-computer interface

HIGHLIGHTS

• who: - Motor imagery (MI and colleagues from the Process, Ministry of Education, East China University of Science and have published the article: A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface, in the Journal: (JOURNAL) of November/10,/2021
• what: The authors propose a novel classification model based on measurement of functional connectivity between brain regions and graph theory. To solve the low performance of EEG-based MI classification, the authors propose a novel classification framework for identifying MI tasks using the graph representations transferred from EEG . . .
  

   

  

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