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Fig. 2 | Alzheimer's Research & Therapy

Fig. 2

From: Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology

Fig. 2

Distribution 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)

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Alzheimer's Research & Therapy

ISSN: 1758-9193