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 twelfth SSA components of RR-intervals signals under the NSR-heart and CHF-heart states, which are given as means ± standard errors. The order of SSA components from 1st to 12th is corresponding to the descending order of magnitude for the twelve eignvalues according to the results of the SSA of RR-intervals signals.</div>

Complexity

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Figure 4

Figure 4: Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals 