Multi-Task EEG Signal Classification Using Correlation-Based IMF Selection and Multi-Class CSP
In the context of motor imagery (MI)-based brain-computer interface (BCI) systems, a great amount of research has been studied for attaining higher classification performance by extracting discriminative features from MI-based electroencephalogram (EEG) signals. In this study, we propose an innovati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10121682/ |