Research Article
Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals
Table 5
Performance evaluations for the proposed entropy-based pattern learning to identify the eye-closed and eye-open states from EEG signals. SVM and LOOCV are used as pattern classifier and cross-validation strategy, respectively.
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EnM, entropy measures; DimEnM, dimension of entropy measures; DimIF, dimension of input features; PPV, positive predictive value; NPV, negative predictive value. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||