Research Article

Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG

Table 2

Comparison of the SVM classifier with different parameters for performance measures (all the SVM classifiers were trained with a set of default parameters; see SVM under Data Processing). A leave-one-out cross-validation was performed for each result.

Performance measureTurns, amplitudeTurns, amplitude, entropyTurns, amplitude, energyTurns, amplitude, entropy, energy

TP35.1333.1833.6336.10
FN3.885.835.382.90
FP9.887.687.234.95
TN29.1331.3331.7834.05
Sn+ (%)0.900.850.860.93
Sp+ (%)0.780.810.820.88
Sn− (%)0.750.800.810.87
Sp− (%)0.880.840.860.92
Ac (%)0.820.830.840.90
MCC0.660.650.680.80