Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings

Figure 7

Precision values of the KSRC, RF, and KNN classifiers obtained using the 10th fold cross-validation for (a) normal class, (b) MS class, (c) MR class, (d) AS class, and (e) MVP class. Sensitivity values of the KSRC, RF, and KNN classifiers obtained using the 10th fold cross-validation for (f) normal class, (g) MS class, (h) MR class, (i) AS class, and (j) MVP class. Specificity values of the KSRC, RF, and KNN classifiers obtained using the 10th fold cross-validation for (k) normal class, (l) MS class, (m) MR class, (n) AS class, and (o) MVP class. -score values of the KSRC, RF, and KNN classifiers obtained using the 10th fold cross-validation for (p) normal class, (q) MS class, (r) MR class, (s) AS class, and (t) MVP class.