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AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification

Brain-computer interface (BCI) technology utilizing electroencephalography (EEG) marks a transformative innovation, empowering motor-impaired individuals to engage with their environment on equal footing. Despite its promising potential, developing subject-invariant and session-invariant BCI systems...

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Principais autores: Galvin Brice S. Lim, Brian Godwin S. Lim, Argel A. Bandala, John Anthony C. Jose, Timothy Scott C. Chu, Edwin Sybingco
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Access
Fag:
Attention mechanism
brain–computer interface
classification
convolutional neural network
electroencephalography
graph neural network
Online adgang:https://ieeexplore.ieee.org/document/11222644/
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