A Novel Approach for Sleep Arousal Disorder Detection Based on the Interaction of Physiological Signals and Metaheuristic Learning

<div>The confusion matrix is depicted in this table, which includes the first (best) and second (worst) rows of the two-fold from the 10-folds of EEG and ECG signals in the first dataset.</div>

Computational Intelligence and Neuroscience

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Figure 4

Figure 4: A Novel Approach for Sleep Arousal Disorder Detection Based on the Interaction of Physiological Signals and Metaheuristic Learning 