Research Article
Intelligent Analysis of Premature Ventricular Contraction Based on Features and Random Forest
Table 7
Comparison with other literatures.
| Methods | Recordings | Measures | Acc (%) | PPV (%) | Se (%) | Sp (%) | γ (%) |
| Shyu et al. [27] | 111, 115, 116, 119, 221, 230, 231 | 97.04 | — | 99.02 | — | — | Li et al. [6] | 98.0 | 66.0 | 99.7 | — | — | Zarei et al. [5] | 99.35 | 90.94 | 100 | 99.33 | 99.33 | Proposed method | 99.32 | 99.44 | 99.19 | 99.45 | 98.64 |
| Lim [28] | 115, 116, 119, 221, 230, 231 | 99.8 | — | 99.2 | — | — | Li et al. [6] | 99.7 | 79.0 | 99.6 | — | — | Zarei et al. [5] | 99.74 | 96.65 | 100 | 99.72 | 99.72 | Proposed method | 99.81 | 99.34 | 99.09 | 99.34 | 98.43 |
| Llamedo and Martínez [8] | All recordings of DS2 | 98.16 | 87.97 | 82.94 | 99.21 | 82.15 | Zhang et al. [9] | 98.63 | 92.75 | 85.48 | 99.54 | 85.02 | Zarei et al. [5] | 98.77 | 86.48 | 96.12 | 98.96 | 95.08 | Zhou et al. [7] | 99.41 | 93.55 | 97.59 | 99.54 | 97.13 | Proposed method | 96.38 | 95.46 | 97.88 | 97.56 | 95.45 |
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