Researchers led by Banghua Yang have released a multi-session EEG dataset that captures neural activity during motor imagery tasks for BCI applications. This detailed dataset highlights temporal, spectral, and spatial features, making it ideal for those exploring advanced neurotechnology and its transformative impact on understanding brain signals.

Q&A

  • What is the main goal of the dataset?
  • How was the EEG data processed?
  • What are the potential applications of this research?
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A multi-day and high-quality EEG dataset for motor imagery brain-computer interface