Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification

Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification

Brain-Computer Interface (BCI) is a revolutionary technique that employs wearable electroencephalography (EEG) sensors and artificial intelligence (AI) to monitor and decode brain activity. EEG-based motor imagery (MI) brain signal is widely utilized in various BCI fields including intelligent healt...

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Bibliographic Details
Main Authors: Kai Zhou, Aierken Haimudula, Wanying Tang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Intelligent healthcare
MI-EEG classification
channel attention
dual-branch convolutional network
multi-head self-attention
Online Access:https://ieeexplore.ieee.org/document/10537180/

Internet

https://ieeexplore.ieee.org/document/10537180/

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