Research on EEG signal classification of motor imagery based on AE and Transformer

Research on EEG signal classification of motor imagery based on AE and Transformer

The motor imagery brain-computer interface has always been the focus of scholars.But traditional system cannot accurately extract significant signals and has low classification accuracy.To overcome such difficulty, a new Transformer model was proposed based on the auto-encoder (AE).The filter bank c...

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Bibliographic Details
Main Authors: Rui JIANG, Liuting SUN, Xiaoming WANG, Dapeng LI, Youyun XU
Format: Article
Language:zho
Published: China InfoCom Media Group 2023-03-01
Series:物联网学报
Subjects:
motor imagery
deep learning
auto-encoder
attention module
Transformer model
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00310/
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http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00310/

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