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. 2023 Apr 26;18(4):e0284667. doi: 10.1371/journal.pone.0284667

Table 6. Accuracy performance results of the male patients.

Remark that the accuracy is computed as TP+TNTP+TN+FP+FN. The columns show: the UPDRS score (marked as NaN in the case of healthy patients), the SM1, SM2 and SM3 performances obtained with a GLRT. As outlined, the first three bases have been considered for SM2 and SM3. Furthermore, note that a cross-validation has been performed for any of the presented results and, therefore, the provided accuracy are the averaged accuracy scores. Configuration for the cross-validation for SM1, SM2, SM3 and the GLRT in 7.2. Afterwards, the results of the IMFs-MFCCs and BLIMFs-MFCCs are provided. The considered bases are the same of the SM2 and SM3. Configuration for the SVM run corresponds to the same of [29] given in 7.4.

Male Results (EMD Speech Data Based Approaches)—Accuracy
Healthy Patients
UPDRS SM1 (GLRT) SM2 (GLRT) SM2 (GLRT) SM3 (GLRT) IMFs-MFCCs (SVM) BLIMFs-MFCCs (SVM)
s˜(t) γ1(t) γ2(t) γ3(t) γ1s(t) γ2s(t) γ3s(t) γ1(BL)(t) γ2(BL)(t) γ3(BL)(t) γ3(BL)(t) IMF1-MFCCs IMF2-MFCCs IMF3-MFCCs BLIMF1-MFCCs BLIMF2-MFCCs BLIMF3-MFCCs
NaN 0.379 0.513 0.445 0.463 0.500 0.567 0.490 0.225 0.235 0.059 0.543 0.392 0.321 0.252 0.201 0.211
NaN 0.379 0.488 0.449 0.462 0.531 0.450 0.441 0.225 0.250 0.026 0.445 0.379 0.500 0.201 0.210 0.098
Sick Patients
UPDRS SM1 (GLRT) SM2 (GLRT) SM2 (GLRT) SM3 (GLRT) IMFs-MFCCs (SVM) BLIMFs-MFCCs (SVM)
s˜(t) γ1(t) γ2(t) γ3(t) γ1s(t) γ2s(t) γ3s(t) γ1(BL)(t) γ2(BL)(t) γ3(BL)(t) γ3(BL)(t) IMF1-MFCCs IMF2-MFCCs IMF3-MFCCs BLIMF1-MFCCs BLIMF2-MFCCs BLIMF3-MFCCs
0 0.627 0.499 0.528 0.521 0.690 0.611 0.710 0.787 0.727 0.911 0.678 0.701 0.734 0.715 0.823 0.868
0 0.602 0.493 0.537 0.534 0.601 0.699 0.722 0.865 0.729 0.911 0.700 0.699 0.734 0.782 0.810 0.888
0 0.597 0.502 0.527 0.549 0.610 0.729 0.730 0.764 0.741 0.920 0.667 0.689 0.793 0.798 0.816 0.849
0 0.635 0.480 0.522 0.523 0.673 0.719 0.710 0.729 0.724 0.878 0.711 0.763 0.793 0.699 0.802 0.899
0 0.610 0.485 0.548 0.549 0.715 0.690 0.721 0.763 0.722 0.916 0.672 0.717 0.798 0.802 0.810 0.899
1 0.615 0.496 0.551 0.522 0.700 0.711 0.735 0.821 0.764 0.954 0.659 0.748 0.762 0.791 0.784 0.834
1 0.626 0.502 0.548 0.545 0.709 0.705 0.721 0.845 0.762 0.947 0.698 0.710 0.787 0.785 0.810 0.873
1 0.616 0.505 0.546 0.575 0.711 0.610 0.721 0.745 0.690 0.835 0.699 0.689 0.786 0.788 0.801 0.890
1 0.595 0.510 0.534 0.534 0.687 0.722 0.720 0.780 0.731 0.926 0.706 0.713 0.798 0.716 0.819 0.878
2 0.628 0.485 0.505 0.533 0.733 0.741 0.745 0.881 0.760 0.923 0.645 0.799 0.811 0.710 0.810 0.898
2 0.581 0.492 0.543 0.550 0.721 0.730 0.727 0.888 0.899 0.910 0.689 0.785 0.798 0.781 0.867 0.901
3 0.634 0.489 0.537 0.638 0.720 0.711 0.749 0.899 0.950 0.949 0.668 0.787 0.795 0.733 0.890 0.910