DBANet: a dual-branch convolutional neural network with attention enhancement for motor imagery classification
Background Recently, Motor Imagery (MI) Electroencephalography (EEG) decoding has been extensively applied in diverse brain–computer interface (BCI) systems. Deep learning is widely used for signal processing in MI-BCI due to the reliability of automatic extracting features. However, recent deep lea...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Brain-Apparatus Communication |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27706710.2024.2438050 |
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