Research Article
ECG Heartbeat Classification Based on an Improved ResNet-18 Model
Table 7
Sensitivity (Se) and precision (P+) of the improved ResNet-18 model, in comparison with state-of-the-art models, for AAMI heartbeat classes V and S.
| Model (ensemble learning is omitted from this comparison as there are neither sensitivity nor precision data presented for it in [11]) | AAMI heartbeat class V | AAMI heartbeat class S | Se (%) | P+ (%) | Se (%) | P+ (%) |
| BbNNs [18] | 86.60 | 93.30 | 50.60 | 67.90 | End-to-end DNN [15] | 93.70 | Not provided | 77.30 | Not provided | 1D-CNN [10] | 93.90 | 90.60 | 60.30 | 63.50 | Improved ResNet-18 (the proposed model) | 93.83 | 97.44 | 76.45 | 83.87 |
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