Aug 2026· IEEE journal of biomedical and health informatics· Vol PP, pp. 1-14· 0 citations
Medicine
TL;DR
FGPT adaptively represents global EEG rhythms by introducing learnable sparse frequency prompt tokens and synergistically embeds these tokens with the original EEG sequence into the Transformer's self-attention computation, which enables joint modeling of spatio-temporal and frequency-domain features without compromising sequence continuity.
This work proposes BrainXNet, a novel multi-scale spectro-temporal attention framework that unifies local feature extraction, frequency-aware representation learning, and global temporal modeling within a single architecture and bridges the gap between high-performance experimental models and practical deployment in di...
Mostafa Gamal, Mustafa Abdel-Wanes· Scientific Reports· 0 citations
High-frequency electroencephalogram (EEG) offers richer spectral representations that can reveal neural features invisible in low-resolution recordings. However, its practical deployment is constrained by several factors, including high computational cost, limited clinical availability of high-sampling-rate EEG systems...
Jialin Wang, Guoyun Feng, Yuer Ma et al.· IEEE journal of biomedical a...· 0 citations
The experimental results demonstrated that the MTANet model, empowered by the EEG inception attention and parallel temporal sequence attention modules, effectively improved the accuracy and stability of MI decoding.
Yun-Feng Qin, Li Zhang, Yu Liu et al.· Behavioural Brain Research· 0 citations
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.· Journal of Neural Engineerin...· 0 citations
Recognizing and understanding human mental workload while performing a task is extremely important for enhancing cognitive state monitoring, optimizing task design, and facilitating decision-making in complex environments. Electroencephalography (EEG) provides a non-invasive technique for monitoring brain activity pa...
Vishal Sharma, Dipika Jain, Pallavi Ranjan et al.· Annals of Data Science· 0 citations
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