B2-ViT Net: Broad Vision Transformer Network With Broad Attention for Seizure Prediction

Seizure prediction are necessary for epileptic patients. The global spatial interactions among channels, and long-range temporal dependencies play a crucial role in seizure onset prediction. In addition, it is necessary to search for seizure prediction features in a vast space to learn new generaliz...

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Detalhes bibliográficos

Principais autores:	Shuiling Shi, Wenqi Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Assuntos:	Automatic seizure prediction electroencephalogram (EEG) vision transformer (ViT) multi-head self-attention broad attention broad learning system (BLS)
Acesso em linha:	https://ieeexplore.ieee.org/document/10373959/
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