Table 4.
Classification metrics compared to the state-of-the-art SVEB and VEB classification (percentage, %).
| Methods | SVEB | VEB | ||||||
|---|---|---|---|---|---|---|---|---|
| ACC | SE | PPV | SP | ACC | SE | PPV | SP | |
| Proposed (a) | 98.8 | 71.4 | 94.4 | 99.8 | 99.1 | 93.3 | 93.3 | 99.5 |
| Kiranyaz et al. [15]∗ | 96.4 | 64.6 | 62.1 | 98.6 | 98.6 | 95 | 89.5 | 98.1 |
| Chazal and Reilly [11]∗ | 95.9 | 87.7 | 47.0 | 96.2 | 99.4 | 94.3 | 96.2 | 99.7 |
| Jiang and Kong [8]∗ | 96.6 | 50.6 | 68.0 | 98.8 | 97.7 | 86.6 | 89.4 | 98.9 |
| Ince et al. [7]∗ | 97.3 | 63.5 | 53.7 | 98.3 | 98.0 | 84.6 | 86.7 | 99.0 |
| Proposed (b) | 96.2 | 15.4 | 47.3 | 99.3 | 95.5 | 60.4 | 66.8 | 97.9 |
| Mar et al. [12] | 93.3 | 83.2 | 33.5 | 93.7 | 97.4 | 86.8 | 75.9 | 98.1 |
| Alvarado et al. [10] | 97.0 | 86.2 | 56.7 | 97.5 | 99.1 | 92.4 | 93.4 | 99.5 |
| Ye et al. [9] | 97.4 | 56.4 | 55.1 | 98.6 | 94.6 | 84.7 | 59.5 | 95.4 |
| Zhang et al. [13] | 93.3 | 79.1 | 36.0 | 93.9 | 98.6 | 85.5 | 92.7 | 99.5 |
∗Patient-specific method: require expert intervention.
(a) indicates the patient-specific heartbeat classification scenario. Classifiers were trained by using the first 300 beats of individual patient.
(b) indicates the interpatient heartbeat classification scenario.