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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