Table 6.
Performance of Only CNN Classifier on an Independent Validation Data Set From the PhysioNet 2015 Challenge
| Aystole | EB | ET | VF | VT | SR | Sensitivity (%) | |
|---|---|---|---|---|---|---|---|
| Aystole | 28 | 0 | 0 | 0 | 0 | 0 | 100.00 |
| EB | 0 | 184 | 0 | 0 | 0 | 51 | 78.30 |
| ET | 0 | 0 | 675 | 23 | 11 | 409 | 60.38 |
| VF | 0 | 0 | 0 | 18 | 2 | 2 | 81.82 |
| VT | 0 | 0 | 0 | 12 | 100 | 40 | 65.79 |
| SR | 4 | 68 | 64 | 55 | 110 | 5346 | 94.67 |
| PPV (%) | 87.50 | 73.02 | 91.34 | 55.56 | 11.92 | 91.42 |
Accuracy = 88.18% Score = 68.96% |
CNN indicates convolutional neural network; EB, extreme bradycardia; ET, extreme tachycardia; PPV, positive predictive value; SR, sinus rhythm; VF, ventricular fibrillation; and VT, ventricular tachycardia.