Research Article
Deep Convolutional Generative Adversarial Network with LSTM for ECG Denoising
Table 2
The average SNRimp, RMSE, and PRD of denoising results with different kinds of noise.
| SNR | Indicators | Noise type | MA | BW | EM | MA+BW | MA+EM | BW+EM | MA+EM+BW |
| -1 dB | SNRimp | 18.334 | 19.873 | 17.941 | 18.403 | 18.429 | 19.157 | 19.254 | RMSE | 0.039 | 0.033 | 0.041 | 0.040 | 0.039 | 0.036 | 0.035 | PRD | 14.140 | 12.117 | 15.140 | 13.981 | 14.074 | 13.086 | 12.914 |
| 3 dB | SNRimp | 16.083 | 16.249 | 14.935 | 16.094 | 15.323 | 15.856 | 16.125 | RMSE | 0.032 | 0.032 | 0.036 | 0.032 | 0.035 | 0.033 | 0.032 | PRD | 11.762 | 11.516 | 13.439 | 11.817 | 12.661 | 12.033 | 11.629 |
| 7 dB | SNRimp | 13.036 | 13.119 | 12.154 | 12.332 | 12.823 | 12.534 | 13.105 | RMSE | 0.028 | 0.028 | 0.032 | 0.031 | 0.029 | 0.0301 | 0.028 | PRD | 10.469 | 10.584 | 11.658 | 11.148 | 10.677 | 11.180 | 10.350 |
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