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SSVEP-assisted RSVP Brain-Computer Interface paradigm for multi-target classification.

Li-Wei KoSandeep Vara Sankar DYufei HuangYun-Chen LuSiddharth ShawTzyy-Ping Jung
Published in: Journal of neural engineering (2020)
Our findings demonstrate that the combination of SSVEP and RSVP stimuli improves the BCI performance and further enhances the possibility of performing multiple user command tasks, which are inevitable in real-world applications. Additionally, the cognitive state biomarkers discussed imply the need for an efficient and attractive experimental paradigm that reduces the physiological state disparities and provide enhanced BCI performance.
Keyphrases
  • deep learning
  • machine learning
  • resting state
  • working memory
  • white matter
  • healthcare
  • functional connectivity
  • cerebral ischemia
  • multiple sclerosis
  • affordable care act
  • brain injury