Improved classification performance of eeg-fnirs multimodal brain-computer interface based on multi-domain features and multi-level progressive learning

HIGHLIGHTS

• who: Jiahui Pan from the Guilin University of Aerospace Technology, China have published the paper: Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning, in the Journal: (JOURNAL)
• what: This study evaluated the effectiveness of the proposed method on MI and MA tasks involving 29 subjects, respectively. such as sampling rate, temporal and spatial resolution, and noise sensitivity, and the information between EEG and fNIRS signal cannot be communicated. The authors proposed a novel multimodal fusion framework based on multi-level progressive learning with . . .
  

   

  

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