A Framework on Performance Analysis of Mathematical Model-Based Classifiers in Detection of Epileptic Seizure from EEG Signals with Efficient Feature Selection

Table 3

Features extracted from DWT coefficients without feature selection method.

Statistical parameters	Haar wavelet		dB4 wavelet		Sym 8 wavelet
	A	E	A	E	A	E
Mean	6.099584	−16.7531	0.099606	−16.7328	0.02899	−16.7287
Variance	73.5206	3029.474	0.000263	3116.757	0.011726	3123.223
Skewness	1.098017	−0.01327	2.484157	−0.01253	-0.60786	−0.01397
Kurtosis	−0.71982	0.073067	5.022013	0.092693	0.117881	0.085127
Pearson correlation coefficient	0.41472	0.013761	0.005183	0.013871	0.513197	0.014305
CCA	0.534668		0.57721		0.670713