Research Article
A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals
Table 5
Comparison between the proposed method and other methods using the same dataset.
| Data sets combination | Methodology | Study | Acc (%) | Our Acc (%) |
| A vs. E | TFA + ANN | Tzallas et al. [4] | 100 | 99.52 | DWT + Kmeans + MLPNN | Orhan et al. [6] | 100 | 1-D-LBP + FT/BN | Kaya et al. [8] | 99.50 | DWT + NB/KNN | Sharmila and Geethanjali [10] | 100 | TQWT + KNNE + SVM | Bhattacharyya et al. [11] | 100 | LMD + GA-SVM | Zhang and Chen [1] | 100 | CNN + M-V | Ullah et al. [2] | 100 | CWT + CNN | Turk and Ozerdem [17] | 99.50 |
| B vs. E | DWT + NB/KNN | Sharmila and Geethanjali [10] | 99.25 | 99.11 | TQWT + KNNE + SVM | Bhattacharyya et al. [11] | 100 | CNN + M-V | Ullah et al. [2] | 99.6 | CWT + CNN | Turk and Ozerdem[17] | 99.50 |
| C vs. E | DWT + NB/KNN | Sharmila and Geethanjali [10] | 99.62 | 98.02 | TQWT + KNNE + SVM | Bhattacharyya et al. [11] | 99.50 | CNN + M-V | Ullah et al. [2] | 99.1 | CWT + CNN | Turk and Ozerdem [17] | 98.50 |
| D vs. E | 1-D-LBP + FT/BN | Kaya et al. [8] | 95.50 | 97.63 | DWT + NB/KNN | Sharmila and Geethanjali [10] | 95.62 | TQWT + KNNE + SVM | Bhattacharyya et al. [11] | 98 | LMD + GA-SVM | Zhang and Chen [1] | 98.10 | CNN + M-V | Ullah et al. [2] | 99.4 | CWT + CNN | Turk and Ozerdem [17] | 98.50 |
| AB vs. E | DWT + NB/KNN | Sharmila and Geethanjali [10] | 99.16 | 99.38 | CNN + M-V | Ullah et al. [2] | 99.8 |
| CD vs. E | 1-D-LBP + FT/BN | Kaya et al. [8] | 97.00 | 98.03 | DWT + NB/KNN | Sharmila and Geethanjali [10] | 98.75 | CNN + M-V | Ullah et al. [2] | 99.7 |
| ABCD vs. E | DWT + Kmeans + MLPNN | Orhan et al. [6] | 99.60 | 98.76 | DWT + NB/KNN | Sharmila and Geethanjali [10] | 97.1 | TQWT + KNNE + SVM | Bhattacharyya et al. [11] | 99 | LMD + GA-SVM | Zhang and Chen [1] | 98.87 | CNN + M-V | Ullah et al. [2] | 99.7 |
| B vs. D vs. E | CNN | Acharya et al. [16] | 88.7 | 98.06 | CWT + CNN | Turk and Ozerdem [17] | 98.00 |
| AB vs. CD vs. E | DWT + Kmeans + MLPNN | Orhan et al. [6] | 95.60 | 96.97 | TQWT + KNNE + SVM | Bhattacharyya et al. [11] | 98.60 | LMD + GA-SVM | Zhang and Chen [1] | 98.40 | CNN + M-V | Ullah et al. [2] | 99.1 |
| A vs. B vs. C vs. D vs. E | TFA + ANN | Tzallas et al. [4] | 89 | 93.55 | MEMD + ANN | Zahra et al. [12] | 87.2 | CWT + CNN | Turk and Ozerdem [17] | 93.60 |
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