G3DCT: An Interpretable Spatial Grid-based Framework with Temporal Convolution-Transformer for EEG Artifact Identification
Aonan He, Xi Wang, Jiangwei Yu, Xiaojia Wang, Zongyuan Ge, Youyong Kong, Guanyu Yang, Chunfeng Yang, Chen Yang, Miao Cao
G3DCT is a deep learning framework for EEG artifact identification that outperforms existing models, achieving a 2.8% F1-score improvement on combined artifacts.
bioRxiv · Feb 2, 2026 · PreprintNeuroscience