Fig. 2From: Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technologyDistribution of the optimal feature set among all extracted EEG features in classification (indicated by red). Six types of EEG features were extracted, including a absolute PSD, b relative PSD, c Hjorth metrics (activity, mobility, and complexity), d time-frequency measures (STFT), e sample entropy, and f microstate measures (lifetime, occurrence rate, converting rate)Back to article page