Decoding articulation motor imagery using early connectivity information in the motor cortex: a functional near-infrared spectroscopy study

HIGHLIGHTS

• who: Zengzhi Guo and collaborators from the Sustainable Support Program for High-Level University under Grant have published the research: Decoding Articulation Motor Imagery Using Early Connectivity Information in the Motor Cortex: A Functional Near-Infrared Spectroscopy Study, in the Journal: (JOURNAL) of 18/05/2022
• what: In this study a 4-class speech imagery BCI based on fNIRS is presented to decode simplified articulation motor imagery (only the movements of jaw and lip were retained) of different vowels. Rapid decoding of the commands to reduce delays in fNIRS-based BCIs is becoming a research . . .
  

   

  

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