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Open access Aug 2026

MTGNet: a task-oriented and spectrally guided framework for EEG denoising

The proposed MTGNet framework provides a practical approach to task-aware EEG denoising, while future work should further validate its applicability across real-world EEG settings involving diverse tasks, artifact types, and acquisition conditions.

Jin-Cheng Hu, Zhong-Ke Gao, Yu-Shi Hao et al. · 0 citations
Aug 2026

Graph convolution neural network channel selection with attention for motor imagery EEG decoding.

Experimental results demonstrate that the proposed approach achieves performance comparable to that obtained with all channels while using significantly fewer electrodes, and UniEEG-Net exhibits classification accuracy surpassing current state-of-the-art models.

Hao-Yu Li, Wei-Dong Dang, Lei Liu et al. · 0 citations

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