Table 7.
Results of classification the various types of myocardial infarction and healthy electrocardiogram signals, after applying the optimization process on support vector machine kernel parameters
| Method | Kernel | Grasshopper papulation | Number of GOA runs | Iteration | Sensitivity | Specificity | Accuracy |
|---|---|---|---|---|---|---|---|
| SVM classifier | Linear | 5 | 100 | 100 | 100±0 | 100±0 | 75.5±0.2 |
| RBF | 5 | 100 | 100 | 100±0 | 98.72±0.02 | 80±0.02 | |
| Pol | 5 | 100 | 100 | 100±0 | 97.37±0 | 94.2±0.2 |
SVM – Support vector machine; GOA – Grasshopper optimization algorithm; RBF – Radial basis function