Early disease detection using multiscale EEG graph fusion and bioinspired deep ensemble learning
Early detection of Alzheimer’s disease (AD) is essential for timely clinical intervention, yet remains challenging due to subtle neural changes in its initial stages. This study proposes a non-invasive EEG-based framework that integrates multiscale signal processing, dynamic brain connectivity analysis, nonlinear fea...