Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals

<div>Statistical results of the values of (a) ApEn, (b) SampEn, (c) FuzzyEn, and (d) MSEn for the first to tenth SSA components of EEG signals under the eye-closed and eye-open physiological states, which are given as means ± standard errors. The order of SSA components from 1st to 10th is corresponding to the descending order of magnitude for the ten eignvalues according to the results of the SSA of EEG signals.</div>

Complexity

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Figure 2: Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals 