Research Article

Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels

Table 14

Performance analysis of twenty patients using morphological filters with SVD, EM, and MEM postclassifiers.

ParametersCode converter methodSVD
optimization
With EM
optimization
With MEM
optimization

Risk level classification rate (%)62.691.2287.2788.71
Weighted delay (s)2.342.262.22.18
False alarm rate/set19.131.425.475.67
Performance Index %33.2689.4885.0386.95
Sensitivity77.8498.5795.5998.97
Specificity78.9192.6598.1197.67
Average detection78.87595.6196.8598.32
Relative risk1.1661.0630.9741.013
Quality Value12.7420.6219.5220.3