Multi-Scale Convolutional Attention and Riemannian Geometry Network for EEG-Based Motor Imagery Classification

The electroencephalogram (EEG) is a non-invasive technique with high temporal resolution that has become the research frontier of brain-computer interface (BCI) systems. It is widely used in medical rehabilitation, gaming, and other industries. However, decoding EEG signals remains a challenging tas...

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Autors principals:	Ben Zhou, Lei Wang, Wenchang Xu, Chenyu Jiang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Electroencephalogram deep learning convolution neural network motor imagery Riemannian geometry
Accés en línia:	https://ieeexplore.ieee.org/document/10549908/
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