Subject-Independent Deep Architecture for EEG-Based Motor Imagery Classification
Motor imagery (MI) classification based on electroencephalogram (EEG) is a widely-used technique in non-invasive brain-computer interface (BCI) systems. Since EEG recordings suffer from heterogeneity across subjects and labeled data insufficiency, designing a classifier that performs the MI independ...
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| Format: | Book |
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IEEE,
2024-01-01T00:00:00Z.
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