Table 3 Best performance obtained for the methodologies studied using the PCG database (scenario 1)
From: Time–frequency based feature selection for discrimination of non-stationary biosignals
Original size of thet–f representation: 512 × 480= 245760. Number of neighbors: 1 | ||||||
|---|---|---|---|---|---|---|
Methodology | ρ min | n rel | n =( n c × n r ) | Accuracy (%) | Sensitivity (%) | Specificity (%) |
PCA with | NA | NA | 18=(9×2) | 92.52±2.32 | 92.70±6.21 | 92.30±3.69 |
tiling [5] | ||||||
PLS with | NA | NA | 18=(9×2) | 93.80±2.85 | 94.52±5.48 | 93.02±4.78 |
tiling [5] | ||||||
Vectorized | NA | NA | NA | 91.22±2.76 | 90.50±2.60 | 91.88±6.51 |
PCA [14] | ||||||
Vectorized | NA | NA | NA | 94.89±2.24 | 94.55±3.05 | 95.25±4.24 |
PLS [14] | ||||||
Algorithm 2 + | NA | NA | NA | 99.28±1.52 | 99.64±1.13 | 98.90±2.48 |
2D–PCA | ||||||
(no relevance) | ||||||
Algorithm 2 + | NA | NA | NA | 99.28±1.52 | 99.64±1.13 | 98.90±2.48 |
2D–PLS | ||||||
(no relevance) | ||||||
Method 1 | 45% | 110592 | 27 | 93.07±3.50 | 92.72±4.18 | 93.43±4.10 |
Method 2 | 15% | 36864 | 12 | 96.72±2.06 | 95.62±3.76 | 97.78±3.98 |
Method 3 | 40% | 98304 | 26 | 98.18±1.49 | 98.20±2.54 | 98.16±2.61 |
Method 4 | 15% | 36864 | 21 | 98.72±1.23 | 98.90±1.77 | 98.53±1.90 |
Method 5 | 40% | 97920 | 21=(7× 3) | 97.09±2.12 | 97.43±3.00 | 96.72±2.04 |
Method 6 | 10% | 24576 | 70=(10× 7) | 99.28±1.25 | 99.64±1.13 | 98.92±1.75 |
Method 7 | 40% | 97920 | 60=(12× 5) | 97.46±1.94 | 98.17±2.56 | 96.72±2.69 |
Method 8 | 10% | 24576 | 70=(10× 7) | 99.64±0.76 | 99.64±1.13 | 99.63±1.17 |