Research Article
ECG Heartbeat Classification Based on an Improved ResNet-18 Model
Algorithm 1
The training algorithm of the improved ResNet-18 model.
Data: preprocessed ECG signals | Result: classified heartbeats | Begin: | 1. Initialize the layer learning rate α, total number of max iteration epoch, min error , Total Batch; | 2. Find the value ; | 3. Generate random weights of the ResNet-18; | 4. ResNet-18 model = Init ResNet-18 model(); | 5. while and do: | 6. Initialize ; | 7. for to Total Batch training do: | 8. ; | 9. Update ; | 10. ; | 11. end for. | 12. Iteration ; | 13. end while. | Return: Output with minimum . |
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