Frequency-Gated Prompting for Enhancing Transformer-based EEG Decoding.

Frequency-aware transformer networks for robust and generalizable EEG-based seizure detection

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...

Hsiam: A Generalized Siamese Network for Efficient Multi-Resolution EEG Analysis.

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...

A Neural Network with Multi-Type Attention for Enhancing Motor Imagery EEG Decoding.

Despite the widespread adoption of deep learning techniques in motor imagery (MI) electroencephalogram (EEG) decoding, the limited decoding performance persists due to the low signal-to-noise ratio of EEG signals and insufficient exploration of MI-related information from temporal, frequency and spatial domains. Theref...

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.

Learnable Time-Frequency Transform With Application to EEG Signal Analysis

HHEEG: Healthy Hybrid EEG-Based Mental Workload Assessment for Healthcare Using Integrated Spatial, Temporal Spectral Deep Learning

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...