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

<div>The comparison of mDSO convergence based on the cost function error calculation. The mDSO is a speedy algorithm that can quickly reach the ideal value. As a result, we employ SVM for reaching optimal classification conditions by adjusting data. (a, b) Test data and (c, d) validation data applied to the improved classifier.</div>

Computational Intelligence and Neuroscience

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Figure 9

Figure 9: A Novel Approach for Sleep Arousal Disorder Detection Based on the Interaction of Physiological Signals and Metaheuristic Learning 