Table 5 Classification accuracy (%) for the detection of epileptic seizures as reported by the discussed stochastic relevance method and by other recent works
Authors | Features/Classifier | Subset | a ac [%] |
|---|---|---|---|
[28] | TFR-2DPCA/k-nn | A,E | 100 |
[42] | t-f analysis/RNN | A,E | 99.60 |
[43] | WT/PNN | A,E | 99.99 |
[44] | PCA FFT/AIRS | A,E | 100 |
[41] | CC+PSD/voting of classifiers | A,E | 100 |
[7] | t-f analysis/ANN | A,E | 100 |
This work | short–time rhythms/k-nn | A,E | 99.50 |
This work | short–time rhythms/SVM | A,E | 100 |
[19] | PCA-RBF/ANN | A,D,E | 96.60 |
[40] | EV/MLP NN | A,D,E | 97.50 |
[45] | PSD+CLZ/SVMA | A,D,E | 98.72 |
[28] | TFR-2DPCA/k-nn | A,D,E | 98.80 |
[7] | t-f analysis/ANN | A,D,E | 100 |
This work | short–time rhythms/k-nn | A,D,E | 98.12 |
This work | short–timerhythms/SVM | A,D,E | 100 |
[7] | t-f analysis/ANN | A,B,C,D,E | 89.00 |
[28] | TFR-2DPCA/k-nn | A,B,C,D,E | 94.40 |
[6] | (WT + eigenvectors)/SVM | A,B,C,D,E | 99.20 |
This work | short–time rhythms/k-nn | A,B,C,D,E | 95.78 |
This work | short–time rhythms/SVM | A,B,C,D,E | 96.58 |