Enhanced Online Continuous Brain-Control by Deep Learning-Based EEG Decoding

Objective: A growing amount of deep learning models for motor imagery (MI) decoding from electroencephalogram (EEG) have demonstrated their superiority over traditional machine learning approaches in offline dataset analysis. However, current online MI-based brain-computer interfaces (BCIs) still pr...

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Detalles Bibliográficos

Autores principales:	Jiaheng Wang, Lin Yao, Yueming Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Materias:	Brain-computer interface motor imagery deep learning machine learning online continuous control EEG
Acceso en línea:	https://ieeexplore.ieee.org/document/11087643/
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