ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface
Convolutional neural networks (CNNs) have been successfully applied to motor imagery (MI)-based brain–computer interface (BCI). Nevertheless, single-scale CNN fail to extract abundant information over a wide spectrum from EEG signals, while typical multi-scale CNNs cannot effectively fuse...
| Autori principali: | , , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IEEE
2024-01-01
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| Serie: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10356088/ |