OpenCodePapers

sleep-stage-detection-on-shhs

Sleep Stage Detection
Dataset Link
Results over time
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Leaderboard
PaperCodeAccuracyCohen's KappaMacro-F1ModelNameReleaseDate
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework✓ Link89.89%0.8600.845SynthSleepNet (EEG2+EOG2+EMG1)2025-02-18
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities89.5%0.8530.823CoRe-Sleep (EEG-EOG)2023-03-27
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework✓ Link89.28%0.8500.835SynthSleepNet (EEG1+EOG1+EMG1)2025-02-18
[]()89.1%0.8470.823XSleepNet2 (EEG, EOG, EMG)
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification✓ Link88.6%0.8410.821MC2SleepNet 50% Masking (C4-A1 only)2025-02-13
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification✓ Link88.5%0.8400.823MC2SleepNet 15% Masking (C4-A1 only)2025-02-13
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework✓ Link88.31%0.8400.820SynthSleepNet (EEG1+EOG1)2025-02-18
[]()88.2%0.8340.808CoRe-Sleep (EEG)
[]()87.9%0.8300.807SleePyCo (C4-A1 only)
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG✓ Link86.88%0.812NeuroNet (C4-A1 only)2024-04-10