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Found 2 papers, 2 papers with code
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface
We propose a novel approach called time-frequency common spatial patterns (TFCSP) to enhance the robustness and accuracy of the electroencephalogram (EEG) signal classification.
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCI
Electroencephalography signals have very low spatial resolution and electrodes capture signals that are overlapping each other.
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