Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module
Motor imagery (MI) is a popular paradigm for controlling electroencephalogram (EEG) based Brain-Computer Interface (BCI) systems. Many methods have been developed to attempt to accurately classify MI-related EEG activity. Recently, the development of deep learning has begun to draw increasing attent...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |