EEG-based clinical decision support system for Alzheimer's disorders diagnosis using EMD and deep learning techniques

Figures

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  Figure 1. Block diagram of the proposed method based on EMD.

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  Figure 2. EEG signals sample, rainflow matrix histogram, electrodes maps, and power spectrum density pattern for (A) neurotypical EEG, (B) mild AD EEG, and (C) moderate AD EEG.

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  Figure 3. Decomposed intrinsic mode functions and residual for (A) neurotypical EEG, (B) mild AD EEG, and (C) moderate AD EEG.

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  Figure 4. Maximum classification accuracy for all classification issues using all classifiers based on 10-fold cross-validation technique.

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  Figure 5. Maximum classification accuracy for all classification issues using all classifiers based on LOSO cross-validation technique.