Table 5 Comparison Analysis of our proposed model with existing works.
Author | Data type | Dataset | Proposed model | Accuracy (%) |
|---|---|---|---|---|
Bechinia et al.15 | ECG | MIT-BIH Arrhythmia | CNN | 99.22 |
Zhang et al.16 | ECG | MIT-BIH Arrhythmia | 2d-CNN | 99.12 |
Zubair et al.17 | ECG | MIT-BIH Arrhythmia | CNN | 96.19 |
Chen et al.18 | ECG | MIT-BIH Arrhythmia | MPR-STSGCN | 99.71 |
Tahmid et al.19 | ECG | MIT-BIH Arrhythmia | CNN | 97.30 |
Aphale et al.20 | ECG | MIT-BIH Arrhythmia | ArrhyNet | 92.73 |
Katal et al.21 | ECG | MIT-BIH Arrhythmia | CNN | 91.20 |
Shi et al.22 | ECG | MIT-BIH Arrhythmia | CNN+LSTM | 94.20 |
Banos et al.23 | ECG | MIT-BIH Arrhythmia | CNN+PSO | 97.00 |
Sabor et al.25 | ECG | MIT-BIH Arrhythmia | CNN | 97.83 |
Farag et al.26 | ECG | MIT-BIH Arrhythmia | CNN | 99.10 |
Singh et al.27 | ECG | MIT-BIH Arrhythmia | ACDAE | 98.88 |
Bhattacharyya et al.28 | ECG | MIT-BIH Arrhythmia | RF + SVM | 98.21 |
Pokaprakarn et al.29 | ECG | MIT-BIH Arrhythmia | CNN + RNN | 97.60 |
Gill et al.30 | ECG | MIT-BIH Arrhythmia | DenseNet121 | 80.00 |
Proposed model | ECG | MIT-BIH Arrhythmia | STL+ConvNeXtTiny | 99.75 |
