Research Article
A Multilevel Temporal Context Network for Sleep Stage Classification
Table 3
The confusion matrix and per-class result from Sleep-EDF-2018 dataset.
| | MLTCN output | Per-class result (%) | Wake | N 1 | N 2 | N 3 | REM | Pre | Rec | F1 |
| Wake | 62184 | 4395 | 885 | 69 | 1212 | 94.2 | 90.4 | 92.2 | N 1 | 3045 | 8879 | 6256 | 128 | 3214 | 44.4 | 41.3 | 42.8 | N 2 | 404 | 4629 | 57308 | 3655 | 3136 | 83.6 | 83.9 | 83.3 | N 3 | 13 | 4 | 2043 | 10953 | 26 | 73.3 | 84.0 | 88.3 | REM | 356 | 2110 | 2019 | 136 | 21214 | 73.7 | 82.1 | 77.7 | ACC = 81.0%; MF1 = 74.9%; kappa = 0.74 |
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