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. 2020 Jun 10;17(11):4152. doi: 10.3390/ijerph17114152

Table 6.

Performance of different methods on the sleep-edf and sleep-edfx datasets.

Methods Samples Per-Class F1-Score Overall Performances
Wake N1 N2 N3 REM Accuracy MF1
Sleep-edfx Ref. [17] 37,022 71.6 47.0 84.6 84.0 81.4 78.9 73.7
Ref. [40] 37,022 65.4 43.7 80.6 84.9 74.5 74.9 69.8
Ref. [29] 41,950 84.7 46.6 85.9 84.8 82.4 82.0 76.9
Ref. [26] 46,236 89.8 33.2 86.7 86.0 82.6 82.6 74.2
Proposed 42,269 90.3 47.1 86.0 82.1 83.2 82.8 77.8
Sleep-edf Ref. [19] 15,188 96.9 49.1 88.9 84.2 81.2 90.8 80.1
Ref. [41] 15,136 97.8 30.4 89.0 85.5 82.5 91.3 77.0
Ref. [25] 15,188 97.5 24.8 89.4 87.0 80.8 91.2 75.9
Proposed 15,188 98.6 52.5 92.1 87.2 91.8 93.7 84.5