A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification

A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification

With the development of brain-computer interfaces (BCI) technologies, EEG-based BCI applications have been deployed for medical purposes. Motor imagery (MI), applied to promote neural rehabilitation for stroke patients, is among the most common BCI paradigms that. The Electroencephalogram (EEG) sign...

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Bibliographic Details
Main Authors: Han Wang, Lei Cao, Chenxi Huang, Jie Jia, Yilin Dong, Chunjiang Fan, Victor Hugo C. de Albuquerque
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EEG classification
attention
transformer
deep learning
stroke
Online Access:https://ieeexplore.ieee.org/document/10190140/

Internet

https://ieeexplore.ieee.org/document/10190140/

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