Research Article
Heart Signal Analysis Using Multistage Classification Denoising Model
Table 3
Obtained performance parameters using CNN, LSTM, and CNN + LSTM models.
| Model | Class | Sy | Sc | Precision | Recall (%) | F1-score |
| CNN | AS | 98.00 | 99.54 | 98.00 | 98.00 | 98.00 | MR | 93.62 | 99.55 | 97.78 | 93.62 | 95.65 | MS | 100 | 99.52 | 98.39 | 100 | 99.19 | MVP | 96.30 | 100 | 100 | 96.30 | 98.11 | N | 100 | 98.58 | 95.00 | 100 | 97.44 |
| LSTM | AS | 40.00 | 83.61 | 20.00 | 44.00 | 26.67 | MS | 24.81 | 91.18 | 73.33 | 24.81 | 37.08 | MR | 52.17 | 79.67 | 19.35 | 52.17 | 28.24 | MVP | 60.00 | 86.75 | 40.38 | 60.00 | 48.28 | N | 79.25 | 91.67 | 70.00 | 79.25 | 74.34 |
| Hybrid | AS | 96.15 | 100 | 100 | 96.15 | 98.04 | MS | 100 | 99.56 | 97.78 | 100 | 98.88 | MR | 100 | 99.52 | 98.39 | 100 | 99.19 | MVP | 100 | 100 | 100 | 100 | 100 | N | 100 | 100 | 100 | 100 | 100 |
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