A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding

Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on complex deep learning structures for MI decoding. The growing complexity of networks may result in overfitting and...

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Autors principals:	Hongyi Zhi, Zhuliang Yu, Tianyou Yu, Zhenghui Gu, Jian Yang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Matèries:	Brain–computer interface (BCI) electroencephalography (EEG) motor imagery (MI) convolutional neural network (CNN) center loss
Accés en línia:	https://ieeexplore.ieee.org/document/10275093/
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