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Sleep Stage Classification on SHHS

93.4F1 WeightedCONFSLEEPNET
-2.86406422.12756847.119272.110832Apr 10, 2024Aug 15, 2024Dec 21, 2024Apr 28, 2025Sep 2, 2025Jan 8, 2026May 16, 2026

Evaluation results

MethodLinks
CONFSLEEPNET2026.0593.444.29089.389.788.281.3
SLEEPYCO2026.0592.649.288.584.588.687.980.7
FLEXIBLESLEEPNET2026.0592.34088.88789.787.679.6
CONFSLEEPNET-2026.0592.141.18884.989.287.479.1
XSLEEPNET2026.059249.988.38588.287.680.7
TMCEK2026.0590.543.287.185.183.984.378
NeuroNet-BEvaluation protocol=linear evaluation, Input=single-epoch EEG, Size=Base2024.0488.2730.7686.287.5679.4184.1374.44
ContraWREvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0485.7825.5184.285.7977.5381.6571.76
DEEPSLEEPNET2026.0585.440.582.579.381.98173.9
MAEEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0485.2818.3883.9584.975.8681.0869.67
SimMIMEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0484.9422.3883.1485.1175.2580.4570.16
SimSiamEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0484.7721.0681.5983.5673.0979.2368.81
Barlow TwinsEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0484.3623.8481.6983.8274.1379.2769.57
NeuroNet-TEvaluation protocol=linear evaluation, Input=single-epoch EEG, Size=Tiny2024.0483.9713.9583.385.4573.7580.4568.09
mulEEGEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0483.6721.4183.0685.8274.1679.9469.62
SimCLREvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0483.6123.1480.6482.7571.9277.7568.41
Two-stage supervised (w/o Positional Encoding)Training Regime=Sequence-level Supervised Encoder, Positional Encoding=False2026.0583.41————83.79—
Two-stage supervised (w/ Positional Encoding)Training Regime=Sequence-level Supervised Encoder, Positional Encoding=True2026.0583.41————83.82—
BYOLEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0483.219.581.7184.5271.3278.5168.05
Frozen (w/o Positional Encoding)Training Regime=Sequence-level Frozen Encoder, Positional Encoding=False, Encoder=Random sequence encoder2026.0582.89————83.36—
Frozen (w/ Positional Encoding)Training Regime=Sequence-level Frozen Encoder, Positional Encoding=True, Encoder=Random sequence encoder2026.0582.78————83.21—
SwAVEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0481.8821.880.182.1771.9377.2167.58
Supervised TransformerTraining Regime=Random vs. Trained Transformer2026.0580.62————80.86—
One-stage supervisedTraining Regime=Sequence-level Frozen Encoder2026.0579.81————80.96—
Data2VecEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0478.0716.6579.0881.0271.2476.1865.21
Random TransformerTraining Regime=Random vs. Trained Transformer2026.0573.32————74.18—
NoneTraining Regime=Random vs. Trained Transformer, Encoder=None2026.0570.38————71.42—
TS-TCCEvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0470.0517.6875.3373.236270.4359.66
BENDREvaluation protocol=linear evaluation, Input=single-epoch EEG2024.0452.348.4172.7278.3754.7865.0853.32
AttnSleepEEG Epoch=12024.040.89560.48080.86530.81760.88820.85590.7895
U-SleepEEG Epoch=352024.040.89320.47380.85570.80960.87580.84740.7816
NeuroNet-B+TCMEEG Epoch=202024.040.89050.55290.88090.86480.87250.86880.8123
IITNetEEG Epoch=102024.040.88580.4210.85120.80370.85050.83820.7624
SleepExpertNetEEG Epoch=202024.040.87280.28130.83830.85390.77720.81980.7247
NeuroNet-T+TCMEEG Epoch=202024.040.86440.50170.85970.85970.83990.84620.7851
DeepSleepNetEEG Epoch=252024.040.83840.18870.83550.84670.7680.81020.6955
Our Pretrained Modelmodel_type=Pretrained2026.02——————80
Perslev et al.2026.02——————80