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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Bibliografiska uppgifter

Huvudupphov:	Galvin Brice S. Lim, Brian Godwin S. Lim, Argel A. Bandala, John Anthony C. Jose, Timothy Scott C. Chu, Edwin Sybingco
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Access
Ämnen:	Attention mechanism brain–computer interface classification convolutional neural network electroencephalography graph neural network
Länkar:	https://ieeexplore.ieee.org/document/11222644/
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