A Novel Methodology for Automated Differential Diagnosis of Mild Cognitive Impairment and the Alzheimer’s disease using EEG signals

ConclusionsIt was demonstrated that the proposed method, MUSIC-EWT algorithm combined with nonlinear features BD and HE, and the EPNN classifier can be employed for differential diagnosis of MCI and AD patients with an accuracy of 90.3%.
Source: Journal of Neuroscience Methods - Category: Neuroscience Source Type: research