Table 5 Results for the five class problem with the EEG database (scenario 3)
From: Time–frequency based feature selection for discrimination of non-stationary biosignals
Methodology | Accuracy (%) | Sensitivity (%) | Specificity (%) | |
|---|---|---|---|---|
Tiling + PLS [5] | 79.40±7.00 | Z | 71.00±16.33 | 93.00±3.07 |
O | 83.00±11.60 | 94.75±3.81 | ||
N | 85.00±13.54 | 92.25±4.16 | ||
F | 73.00±14.94 | 95.00±3.54 | ||
S | 85.00±8.50 | 99.25±1.21 | ||
Method 4 | 91.00±1.94 | Z | 93.00±6.75 | 97.00±2.58 |
O | 94.00±6.99 | 99.25±1.21 | ||
N | 94.00±5.16 | 95.00±2.64 | ||
F | 77.00±9.49 | 98.00±2.30 | ||
S | 97.00±4.83 | 99.50±1.05 | ||
Method 8 | 94.40±3.75 | Z | 99.00±3.16 | 98.25±2.06 |
O | 95.00±7.07 | 99.50±1.58 | ||
N | 96.00±5.16 | 97.00±1.58 | ||
F | 88.00±10.33 | 98.50±1.75 | ||
S | 94.00±6.99 | 99.75±0.79 | ||