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Models/NeuroNet (C4-A1 only)

NeuroNet (C4-A1 only)

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical8 results

Sleep QualityonISRUC-Sleep (single-channel)
Macro-F1· 2024-04-10
0.734
SOTA
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep QualityonSHHS (single-channel)
Macro-F1· 2024-04-10
0.812
best: 0.823 (MC2SleepNet 15% Masking (C4-A1 only))
SOTA
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep QualityonISRUC-Sleep
Macro-F1· 2024-04-10
0.734
SOTA
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep Stage DetectiononISRUC-Sleep (single-channel)
Macro-F1· 2024-04-10
0.734
SOTA
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep Stage DetectiononSHHS (single-channel)
Macro-F1· 2024-04-10
0.812
best: 0.823 (MC2SleepNet 15% Masking (C4-A1 only))
SOTA
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep Stage DetectiononISRUC-Sleep
Macro-F1· 2024-04-10
0.734
SOTA
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep QualityonSHHS
Macro-F1· 2024-04-10
0.812
best: 0.845 (SynthSleepNet (EEG2+EOG2+EMG1))
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585
Sleep Stage DetectiononSHHS
Macro-F1· 2024-04-10
0.812
best: 0.845 (SynthSleepNet (EEG2+EOG2+EMG1))
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG arXiv:2404.17585