Symmetry Analysis of Gait between Left and Right Limb Using Cross-Fuzzy Entropy

Table 1

Summary of the classification results for PD patients and CO subjects using C-FuzzyEn(), C-SampleEn(), and ASI feature calculated from the left and right stride interval time series. The results were obtained by using RBF-kernel-based SVM classifier and the LOO cross-validation method. TP, TN, FP, and FN denote true positives, true negatives, false positives, and false negatives, respectively.

Feature	Positive class (PD)		Negative class (CO)		Specificity ()	Sensitivity ()	Accuracy ()
	TP	FN	TN	FP
C-FuzzyEn	14	1	16	0	100%	93.33%	96.77%
C-SampleEn	13	2	15	1	93.75%	86.67%	90.32%
ASI	11	4	13	3	81.25%	73.33%	77.42%