Table 5.
Performance of Hybrid 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 |
| EB | 0 | 227 | 0 | 0 | 0 | 15 | 93.80 |
| ET | 0 | 0 | 932 | 0 | 35 | 186 | 80.83 |
| VF | 0 | 0 | 0 | 10 | 12 | 0 | 45.45 |
| VT | 0 | 0 | 0 | 17 | 142 | 9 | 84.52 |
| SR | 17 | 25 | 69 | 0 | 62 | 5584 | 96.99 |
| PPV (%) | 62.22 | 90.08 | 93.11 | 37.04 | 56.57 | 96.38 |
Accuracy = 93.93% Score = 84.32% |
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.