Research Article
ECG Beats Classification Using Mixture of Features
Table 4
Summary of the studies on the different ECG classification technique using MIT-BIH database.
| Literature | Features | Classifier | Classes | Accuracy |
| beyli [5] | Lyapunov exponents and wavelet coefficients | ANN classifier | 4 | 93.9 |
Korrek and Doan [6] | Temporal feature set | PSO and RBFNN | 6 | 96.3 |
de Chazal and Reilly [7] | Morphology and heartbeat interval | Linear discriminant | 5 | 85.9 | Inan et al. [9] | WT + timing interval | ANN | 3 | 95.2 |
Jiang and Kong [8] | Hermite transform coefficients and time intervals | Block based NN | 5 | 96.6 | Proposed-1 | ST + Temporal | MLP-NN | 5 | 96.9 | Proposed-2 | ST + WT + Temporal | MLP-NN | 5 | 97.5 |
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