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Physics-Informed Attention Temporal Convolutional Network For EEG-Based Motor Imagery Classification by Thanh Ngân Nguyễn Hồ is a document available to read on EtoBox.
What is Physics-Informed Attention Temporal Convolutional Network For EEG-Based Motor Imagery Classification about?
The document presents the Physics-Informed Attention Temporal Convolutional Network (ATCNet) for EEG-based motor imagery classification, which enhances the performance of brain signal decoding in brain-computer interface (BCI) applications. The ATCNet model integrates multiple techniques, including attention mechanisms and temporal convolutional networks, achieving an accuracy of 85.38% on the BCI Competition IV-2a dataset. The research aims to improve the classification of motor imagery tasks while address
- Author
- Thanh Ngân Nguyễn Hồ
- Language
- EN