Table 1 Classification results of α = 0.3 and methods based on wavelet entropy feature, time-domain feature, frequency-domain feature, and wavelet-energy feature
From: Paroxysmal atrial fibrillation recognition based on multi-scale wavelet α-entropy
Correct rate (%) | Sensitivity (%) | Specificity (%) | |
|---|---|---|---|
Time | 82.20 ± 2.04 | 77.68 ± 1.98 | 86.72 ± 3.50 |
Frequency | 57.96 ± 4.93 | 48.84 ± 6.63 | 67.08 ± 7.75 |
SampEn | 64.32 ± 1.96 | 76.36 ± 3.90 | 52.28 ± 1.03 |
Wavelet Energy | 87.50 ± 2.10 | 93.68 ± 2.68 | 81.32 ± 3.12 |
Wavelet Entropy | 91.98 ± 1.32 | 94.64 ± 1.90 | 89.32 ± 1.89 |