3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal
Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery electroencephalography (EEG). However, motor imagery EEG signals often have a low signal-to-noise ratio and...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2024-12-01
|
| シリーズ: | Frontiers in Neurorobotics |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fnbot.2024.1485640/full |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|