Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels

Table 13

Performance analysis of twenty patients using Haar wavelet in soft thresholding with SVD, EM, and MEM postclassifiers.

Parameters	Code converter method before optimization	SVD optimization	With EM; optimization	With MEM; optimization
Heursure soft thresholding
Risk level classification rate (%)	66.1	87.21	89.03	90.46
Weighted delay (s)	2.47	1.91	2.19	2.08
False alarm rate/set	11.93	9.94	4.16	4.93
Performance Index %	52.82	82.64	87.88	89.82
Sensitivity	85.39	90.05	96.27	95.07
Specificity	78.28	97.16	92.76	95.4
Average detection	78.875	93.61	94.51	95.23
Relative risk	1.166	0.926	1.037	0.996
Quality Value	13.54	20.16	20.12	20.85
Mini max soft thresholding
Risk level classification rate (%)	64.63	85.22	89.48	93.97
Weighted delay (s)	2.53	1.7	2.15	2.06
False alarm rate/set	15.1	14.77	4.6	3.5
Performance Index %	44.52	79.43	88.15	93.4
Sensitivity	82.31	85.25	95.4	96.71
Specificity	76.81	100	94.08	97.26
Average detection	78.875	92.625	94.74	96.98
Relative risk	1.166	0.85	1.014	0.994
Quality Value	12.11	19.36	20.09	22.54
Rig sure soft thresholding
Risk level classification rate (%)	66.34	88.49	90.9	92.22
Weighted delay (s)	2.52	1.77	2.01	2.1
False alarm rate/set	13.78	11.5	5.48	4.16
Performance Index %	49.11	84.18	89.93	91.25
Sensitivity	84.35	88.49	94.74	95.83
Specificity	78.23	100	96.16	96.83
Average detection	78.875	94.45	95.45	96.33
Relative risk	1.166	0.88	0.992	0.989
Quality Value	12.91	20.44	20.32	21.42
Sqtwolog soft thresholding
Risk level classification rate (%)	65.34	77.69	84.65	88.38
Weighted delay (s)	2.96	2.806	2.34	2.3
False alarm rate/set	6.96	1.42	4.49	2.74
Performance Index %	46.89	66.58	82.12	86.87
Sensitivity	91.34	98.57	95.5	97.26
Specificity	70.82	79.11	89.15	91.12
Average detection	78.875	88.84	92.325	94.19
Relative risk	1.166	1.245	1.07	1.06
Quality Value	13.22	17.82	18.77	20.22