Author | Database | Data Input | Approach | Performance | ||
---|---|---|---|---|---|---|
Acc | Sen | Sp | ||||
Alfaras et al. [6] | MIT-BIH arrhythmia database | 1 D ECG | Ensemble of Echo State Networks | 96.8% | 92.7% | - |
Kishore et al. [8] | MIT-BIH arrhythmia database | 1 D ECG | Radial Basis Function Neural Network | 98.5% | 98.3% | 99% |
Ting et al. [12] | MIT-BIH arrhythmia database | 2D ECG | EfficientNet B0 | 97.3% | 89.55% | 89.55% |
Bhatia et al. [13] | MIT-BIH arrhythmia database | 1D ECG | LSTM + CNN | 98.36% | - | 94.36% |
Karthiga et al. [14] | MIT-BIH arrhythmia database | 2D ECG | CNN | 91.92% | 90.21% | 95.18% |
Madan et al. [15] | MIT-BIH arrhythmia database | 2D ECG | LSTM + CNN | 97.3% | 97% | 98% |
Proposed work | MIT-BIH arrhythmia database | 2D ECG | ResNet 50 | 99.2% | 99.2% | 99.6% |