Research Article
Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals
Table 11
Comparison results of the identification accuracies for the proposed entropy-based pattern learning to identify specific biosignal patterns from EEG and EMG signals with SSA components representation by the use of different window lengths.
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DimEnM, dimension of entropy measures; DimIF, dimension of input features; EnM, entropy measures; PatternC, pattern classifier; CrossVS, cross-validation strategy; SVM, support vector machine; LOOCV, leave-one-out cross-validation. |