Decoding Bilingual EEG Signals With Complex Semantics Using Adaptive Graph Attention Convolutional Network

Decoding Bilingual EEG Signals With Complex Semantics Using Adaptive Graph Attention Convolutional Network

Decoding neural signals of silent reading with Brain-Computer Interface (BCI) techniques presents a fast and intuitive communication method for severely aphasia patients. Electroencephalogram (EEG) acquisition is convenient and easily wearable with high temporal resolution. However, existing EEG-bas...

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Bibliographic Details
Main Authors: Chengfang Li, Yang Liu, Jielin Li, Yuhao Miao, Jing Liu, Liang Song
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain-computer interface
EEG signals
complex semantics
silent reading
multiple languages
Online Access:https://ieeexplore.ieee.org/document/10379024/

Internet

https://ieeexplore.ieee.org/document/10379024/

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