Research Article

On the Use of Wavelet Domain and Machine Learning for the Analysis of Epileptic Seizure Detection from EEG Signals

Table 4

Decision Tree results for University of Bonn dataset.

Sets (cases)Frequency subbandFeatureClassifier accuracy (%)Sensitivity (%)Specificity (%)PPVNPVMCC

A-ED3Avg. power999910010099.090.99
D4MAV99.59910099.0999.090.99
D5MAV1001001001001001
A5Min. coeff.92.5929393.5492.380.85
B-ED3Max. coeff.91.5889595.4591.210.84
D4Max. coeff.90.5899292.489.80.81
D5MAV1001001001001001
A5STD89.5918889.2392.170.8
C-ED3STD98989898.1898.180.96
D4Shannon ent.98989898.3398.180.96
D5MAV97.5979899.0997.270.96
A5Max. coeff.80778382.4779.250.6
D-ED3MAV96.5979696.2797.180.93
D4MAV92.5939292.8793.160.85
D5MAV91.5919293.0991.910.83
A5Max. coeff.69706869.3569.80.38
AB-ED3Max. coeff.92.67889591.0994.350.84
D4MAV94.33879896.594.110.87
D5MAV1001001001001001
A5Min. coeff.928794.589.2893.830.82
AC-ED3STD98.67989998.1899.040.97
D4MAV94.339096.593.5895.220.87
D5Ap. ent.98.67989998.199.020.97
A5STD86.678997.593.3584.880.69
AD-ED3MAV989798.597.1898.540.95
D4MAV94.39295.591.4796.150.87
D5Ap. ent.94.679196.59395.70.88
A5Min. coeff.81.33728673.6486.810.59
BC-ED3Max. coeff.93.67ā€ƒ879795.193.850.86
D4MAV93.3889693.2894.390.85
D5MAV98.33979998.1898.570.96
A5Ap. ent.81.67718776.0285.680.59
BD-ED3Max. coeff.88.38291.584.3491.310.74
D4MAV91.678893.587.9494.080.81
D5MAV94.67929693.0996.330.88
A5Min. coeff.80.337085.573.4185.460.56
CD-ED3MAV96.679796.594.1198.540.93
D4MAV949394.590.1896.640.87
D5Ap. ent.94929590.7596.370.86
A5Min. coeff.76.666582.565.8282.730.47
ABC-ED3Min. coeff.94.5879790.8695.970.85
D4MAV949394.590.1896.650.87
D5MAV98.59699.398.1898.720.96
A5Max. coeff.89.756899.187.3290.430.7
ABD-ED3Min. coeff.92.58495.3386.3294.760.8
D4Max. coeff.95.759097.6693.6196.750.8
D5Ap. ent.95.25909791.6896.850.87
A5Min. coeff.85.757290.372.1890.860.62
ACD-ED3MAV989798.3395.7599.050.95
D4STD96.75969791.8198.60.91
D5Ap. ent.95.5919792.1897.130.88
A5MAV82.256687.6663.8588.750.53
BCD-ED3Min. coeff.91.258593.3381.7294.930.77
D4Avg. power94.258597.3391.7795.170.84
D5Ap. ent.96.259596.691.298.350.9
A5STD82.756389.336888.150.53
ABCD-ED3Min. coeff.1001001001001001
D4Min. coeff.85.8659164.7291.290.55
D5Ap. ent.96.89597.2590.9398.750.9
A5Avg. power85.2589263.4389.860.51
AB-CDD3MAV79.7574.58584.2377.090.63
D4Avg. power57.7556.55958.1557.950.15
D5Min. coeff.73.5687976.5972.880.48
A5Avg. power74529693.6267.060.53