Table 2.
Dataset | Annotated Peaks | Algorithm | True Positives (Beats) | False Positives (Beats) | False Negatives (Beats) | Failed Detection (Beats) | Error Rate (%) | Sensitivity (%) | Positive Predictive Value (%) | Accuracy (%) |
---|---|---|---|---|---|---|---|---|---|---|
A1 | 72,415 | Pan–Tompkins | 72,073 | 191 | 348 | 539 | 0.74 | 99.51 | 99.75 | 99.26 |
AMPT | 72,267 | 135 | 148 | 283 | 0.39 | 99.80 | 99.82 | 99.62 | ||
A2 | 78,618 | Pan–Tompkins | 64,653 | 11137 | 14,065 | 25,202 | 32.06 | 80.75 | 85.12 | 74.09 |
AMPT | 64,993 | 8671 | 13,639 | 22,310 | 28.38 | 82.06 | 86.37 | 78.54 | ||
B1 | 48,494 | Pan–Tompkins | 45,231 | 134 | 2988 | 3122 | 6.44 | 95.08 | 99.74 | 94.85 |
AMPT | 45,301 | 8 | 3083 | 3091 | 6.37 | 94.97 | 99.98 | 94.96 | ||
B2 | 103,724 | Pan–Tompkins | 99,783 | 349 | 3720 | 4069 | 3.92 | 96.36 | 99.66 | 96.09 |
AMPT | 100,135 | 144 | 3380 | 3524 | 3.40 | 96.80 | 99.83 | 96.66 | ||
C | 8923 | Pan–Tompkins | 6684 | 2132 | 2238 | 4370 | 48.97 | 74.93 | 75.97 | 64.26 |
AMPT | 8468 | 276 | 454 | 730 | 8.18 | 96.90 | 95.07 | 92.81 | ||
D | 6708 | Pan–Tompkins | 3218 | 972 | 522 | 1494 | 40.10 | 84.92 | 77.56 | 68.91 |
AMPT | 3394 | 707 | 334 | 1041 | 27.94 | 90.00 | 81.04 | 76.29 |