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Sleep Stage Classification on Sleep-EDFX

85.24Accuracy (ACC)NeuroNet-B+TCM
56.307263.818671.3378.8414Apr 10, 2024Aug 14, 2024Dec 19, 2024Apr 25, 2025Aug 30, 2025Jan 4, 2026May 11, 2026

Evaluation results

MethodLinks
NeuroNet-B+TCMEEG Epoch=202024.0485.2493.1558.887.2176.978379.82
NeuroNet-T+TCMEEG Epoch=202024.0482.6792.2753.0185.1975.2377.1376.57
AttnSleepEEG Epoch=12024.0482.4292.7147.7284.6565.2382.4474.55
U-SleepEEG Epoch=352024.0481.4892.5945.7783.6163.6580.973.3
SleepExpertNetEEG Epoch=202024.0479.6891.4940.4483.8472.2872.1872.05
Two-stage supervised (w/ Positional Encoding)Training Regime=Sequence-level Supervised Encoder, Positional Encoding=True2026.0579.6778.16—————
Supervised TransformerTraining Regime=Random vs. Trained Transformer2026.0579.4578.06—————
Two-stage supervised (w/o Positional Encoding)Training Regime=Sequence-level Supervised Encoder, Positional Encoding=False2026.0579.1578.21—————
Frozen (w/ Positional Encoding)Training Regime=Sequence-level Frozen Encoder, Positional Encoding=True, Encoder=Random sequence encoder2026.0578.8278.03—————
IITNetEEG Epoch=102024.0478.7791.1343.7483.1761.2772.8870.44
Frozen (w/o Positional Encoding)Training Regime=Sequence-level Frozen Encoder, Positional Encoding=False, Encoder=Random sequence encoder2026.0578.6777.83—————
Random TransformerTraining Regime=Random vs. Trained Transformer2026.0577.7576.32—————
DeepSleepNetEEG Epoch=252024.0477.4990.8435.5681.4268.5968.0268.89
One-stage supervisedTraining Regime=Sequence-level Frozen Encoder2026.0576.7775.33—————
NeuroNet-BEvaluation protocol=linear evaluation, Input=single-epoch EEG, Size=Base2024.0476.7489.1736.2481.7469.9763.8268.19
NeuroNet-TEvaluation protocol=linear evaluation, Input=single-epoch EEG, Size=Tiny2024.0476.2689.930.2181.5171.3959.5166.5
ContraWREvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0475.7988.434.3581.6768.8162.7867.2
Barlow TwinsEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0475.1387.8529.281.8469.6957.3365.18
mulEEGEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0474.9289.0936.5280.6969.6259.6667.12
NoneTraining Regime=Random vs. Trained Transformer, Encoder=None2026.0573.9471.89—————
RL-BioAugCategory=Composite, Augmentation Strategy=RL-BioAug2026.0172.72—————69.55
SwAVEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0471.9885.1132.4978.9262.6854.4462.73
BYOLEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0471.8287.0833.478.3264.4955.1263.68
SimCLREvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0471.4985.9532.2579.4468.6553.5963.98
SimSiamEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0471.3485.5529.378.9263.6246.8960.85
SimMIMEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0469.9483.6826.6975.7351.3244.3256.35
Data2VecEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0469.7883.3928.5475.4156.5450.8258.94
MAEEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0468.3181.2327.3976.7260.9946.9158.65
Time MaskingCategory=Single, Augmentation Strategy=Time Masking2026.0165.52—————61.83
Time PermutationCategory=Single, Augmentation Strategy=Time Permutation2026.0165.33—————60.82
Crop & ResizeCategory=Single, Augmentation Strategy=Crop & Resize2026.0164.63—————60.4
Random SelectionCategory=Composite, Augmentation Strategy=Random Selection2026.0164.48—————59.86
Time FlipCategory=Single, Augmentation Strategy=Time Flip2026.0164.22—————59.52
Time WarpCategory=Single, Augmentation Strategy=Time Warp2026.0162.49—————57.8
TS-TCCEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0461.4573.2821.1566.0141.3937.3347.83
BENDREvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0457.4272.1528.2867.8350.9432.550.34