A dual-branch multidimensional attention fusion network for EEG-based fatigue classification
Introduction Electroencephalogram (EEG)-based fatigue classification is important for vigilance monitoring. Reliable recognition remains challenging due to fatigue-related neural changes that involve both spectral-temporal dynamics and altered inter-channel interactions. Methods This study develops a lightweight Dual-B...