Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces

HIGHLIGHTS

• who: Jing Mu from the Chongqing University of Posts and Telecommunications, China have published the article: Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces, in the Journal: (JOURNAL)
• what: Note that the focus of this work is not to increase ITR, but rather to explore and compare different frequency set selection methods in multi-frequency SSVEP. During the experiments, 5 s of data was used for decoding to produce feedback to the participants. The authors compare Methods 2 and 3 as both were optimized (minimized) frontiersin.org 10 . . .
  

   

  

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