Automatic Diagnosis of Mild Cognitive Impairment Based on Spectral, Functional Connectivity, and Nonlinear EEG-Based Features

<div>The obtained results of the proposed framework using different classifiers in terms of the percentage (%) of the mean and standard deviation of AC, SE, SP, F1, and FDR metrics.</div>

Computational and Mathematical Methods in Medicine

tab2

Table 2

Table 2: Automatic Diagnosis of Mild Cognitive Impairment Based on Spectral, Functional Connectivity, and Nonlinear EEG-Based Features 