Improving brain-computer interface classification using adaptive common spatial patterns

@article{Song2015ImprovingBI,
  title={Improving brain-computer interface classification using adaptive common spatial patterns},
  author={Xiaomu Song and Suk-Chung Yoon},
  journal={Computers in biology and medicine},
  year={2015},
  volume={61},
  pages={150-60}
}
Common Spatial Patterns (CSP) is a widely used spatial filtering technique for electroencephalography (EEG)-based brain-computer interface (BCI). It is a two-class supervised technique that needs subject-specific training data. Due to EEG nonstationarity, EEG signal may exhibit significant intra- and inter-subject variation. As a result, spatial filters learned from a subject may not perform well for data acquired from the same subject at a different time or from other subjects performing the… CONTINUE READING
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