A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface
The motor imagery (MI) based brain-computer interfaces (BCIs) have been proposed as a potential physical rehabilitation technology. However, the low classification accuracy achievable with MI tasks is still a challenge when building effective BCI systems. We propose a novel MI classification model b...
| 出版年: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
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| 主要な著者: | , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2022-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/9664515/ |