Research Article
A Multilevel Temporal Context Network for Sleep Stage Classification
Table 2
The confusion matrix and per-class result from Sleep-EDF-2013 dataset.
| | MLTCN output | Per-class result (%) | Wake | N 1 | N 2 | N 3 | REM | Pre | Rec | F1 |
| Wake | 7427 | 426 | 194 | 18 | 220 | 87.4 | 89.6 | 88.5 | N 1 | 358 | 903 | 748 | 15 | 780 | 50.7 | 32.2 | 39.4 | N 2 | 425 | 220 | 15531 | 843 | 780 | 88.2 | 87.3 | 87.7 | N 3 | 59 | 1 | 577 | 5065 | 1 | 85.2 | 88.8 | 87.0 | REM | 226 | 230 | 555 | 4 | 6702 | 79.0 | 86.8 | 82.7 | ACC = 84.2%; MF1 = 77.0%; kappa = 0.78 |
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