Research Article
Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels
Table 8
Performance analysis of wavelet transforms with hard thresholding.
| Classifiers | Perfect classification | Missed classification | False alarm | Performance Index |
| Haar wavelet | Code converter | 61.45 | 15.625 | 22.91 | 37.58 | With SVD optimization | 96.58 | 3.42 | 0 | 96.4 | With EM optimization | 82.68 | 12.93 | 4.38 | 80.1 | With MEM optimization | 85.32 | 10.95 | 3.72 | 83.35 |
| DB2 wavelet | Code converter | 61.18 | 16.14 | 22.65 | 36.44 | With SVD optimization | 98.13 | 0.9465 | 0.946 | 98.03 | With EM optimization | 87.29 | 8.1 | 4.59 | 85.42 | With MEM optimization | 89.58 | 5.81 | 4.61 | 87.81 |
| DB4 wavelet | Code converter | 64.57 | 12.49 | 22.91 | 44.72 | With SVD optimization | 97.54 | 0.378 | 2.08 | 97.45 | With EM optimization | 92.33 | 4.31 | 3.29 | 91.35 | With MEM optimization | 93.86 | 2.3 | 3.84 | 93.17 |
| Sym8 wavelet | Code converter | 63.52 | 11.44 | 23.95 | 44.81 | With SVD optimization | 97.35 | 1.512 | 1.135 | 97.23 | With EM optimization | 87.27 | 7.78 | 5.48 | 85.03 | With MEM optimization | 88.71 | 6.9 | 5.67 | 86.95 |
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