Research Article
Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels
Table 11
Performance analysis of twenty patients using dB2 wavelet hard thresholding with SVD, EM, and MEM postclassifiers.
| Parameters | Code converter method before optimization | SVD optimization | With EM optimization | With MEM optimization |
| Risk level classification rate (%) | 61.45 | 98.13 | 87.29 | 89.58 | Weighted delay (s) | 2.189 | 2.017 | 2.233 | 2.14 | False alarm rate/set | 22.65 | 0.9463 | 4.59 | 4.6 | Performance Index % | 36.45 | 98.03 | 85.42 | 87.81 | Sensitivity | 75.43 | 99.05 | 95.4 | 95.4 | Specificity | 81.94 | 99.1 | 91.89 | 94.19 | Average detection | 78.875 | 99.075 | 93.645 | 94.795 | Relative risk | 1.166 | 0.9999 | 1.038 | 1.0128 | Quality Value | 12.57 | 23.82 | 19.72 | 20.49 |
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