OpenCodePapers
sleep-stage-detection-on-shhs
Sleep Stage Detection
Dataset Link
Results over time
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Paper
Code
Accuracy
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Cohen's Kappa
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Macro-F1
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ModelName
ReleaseDate
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Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
✓ Link
89.89%
0.860
0.845
SynthSleepNet (EEG2+EOG2+EMG1)
2025-02-18
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities
89.5%
0.853
0.823
CoRe-Sleep (EEG-EOG)
2023-03-27
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
✓ Link
89.28%
0.850
0.835
SynthSleepNet (EEG1+EOG1+EMG1)
2025-02-18
[]()
89.1%
0.847
0.823
XSleepNet2 (EEG, EOG, EMG)
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
✓ Link
88.6%
0.841
0.821
MC2SleepNet 50% Masking (C4-A1 only)
2025-02-13
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
✓ Link
88.5%
0.840
0.823
MC2SleepNet 15% Masking (C4-A1 only)
2025-02-13
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
✓ Link
88.31%
0.840
0.820
SynthSleepNet (EEG1+EOG1)
2025-02-18
[]()
88.2%
0.834
0.808
CoRe-Sleep (EEG)
[]()
87.9%
0.830
0.807
SleePyCo (C4-A1 only)
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
✓ Link
86.88%
0.812
NeuroNet (C4-A1 only)
2024-04-10