Sleep Stage Classification on SHHS (test)
89.89AccuracySynthSleepNet + TCM
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG2 + EOG2 + EMG12025.02 | 89.89 | 84.52 | 0.86 | — | — | — | — | — | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG2 + EOG2 + EMG1 + ECG12025.02 | 89.61 | 83.98 | 0.86 | — | — | — | — | — | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG1 + EOG1 + EMG12025.02 | 89.28 | 83.47 | 0.85 | — | — | — | — | — | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG2 + EOG22025.02 | 89.21 | 83.75 | 0.85 | — | — | — | — | — | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG2 + EOG2 + ECG12025.02 | 88.76 | 83.03 | 0.84 | — | — | — | — | — | |
| SalientSleepNetTraining Type=Supervised, Modality=EEG1 + EOG12025.02 | 88.62 | 82.47 | 0.84 | — | — | — | — | — | |
| MC2SleepNetMasking ratio=50%, Input=RS + SP, Subjects=54632025.02 | 88.59 | 82.1 | 0.841 | 93 | 52.3 | 89.3 | 85.7 | 90.1 | |
| MC2SleepNetMasking ratio=50%, Input=RS + SP, Subjects=57912025.02 | 88.5 | 81.7 | 0.837 | 93.1 | 51.9 | 89.2 | 85.1 | 89.3 | |
| MC2SleepNetMasking ratio=15%, Input=RS + SP, Subjects=54632025.02 | 88.46 | 82.3 | 0.84 | 92.9 | 53.5 | 89.1 | 86 | 89.8 | |
| L-SeqSleepNetInput=SP, Subjects=54632025.02 | 88.35 | 81.4 | 0.838 | 93.1 | 51.1 | 89 | 84.9 | 89.8 | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG1 + EOG12025.02 | 88.31 | 82.01 | 0.84 | — | — | — | — | — | |
| CoRe-SleepInput=SP, Subjects=57912025.02 | 88.2 | 81 | 0.834 | — | — | — | — | — | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG1 + EOG1 + ECG12025.02 | 88.17 | 82.65 | 0.84 | — | — | — | — | — | |
| SleePycoInput=RS, Subjects=57932025.02 | 87.9 | 80.7 | 0.83 | 92.6 | 49.2 | 88.5 | 84.5 | 88.6 | |
| SleepTransformerInput=SP, Subjects=57912025.02 | 87.7 | 80.1 | 0.828 | 92.2 | 46.1 | 88.3 | 85.2 | 88.6 | |
| XSleepNetTraining Type=Supervised, Modality=EEG1 + EOG1 + EMG12025.02 | 87.6 | 80.99 | 0.83 | — | — | — | — | — | |
| L-SeqSleepNetInput=SP, Subjects=57912025.02 | 87.6 | 80.3 | 0.825 | 92.4 | 48.6 | 88.2 | 83.9 | 88.5 | |
| XSleepNetInput=RS + SP, Subjects=57912025.02 | 87.6 | 80.7 | 0.826 | 92 | 49.9 | 88.3 | 85 | 88.2 | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EEG22025.02 | 87.34 | 81.58 | 0.82 | — | — | — | — | — | |
| DynamicSleepNetTraining Type=Supervised, Modality=EEG1 + EOG1 + EMG12025.02 | 87.06 | 80.5 | 0.82 | — | — | — | — | — | |
| MMASleepNetTraining Type=Supervised, Modality=EEG1 + EOG1 + EMG12025.02 | 86.65 | 79.99 | 0.82 | — | — | — | — | — | |
| U-SleepTraining Type=Supervised, Modality=EEG1 + EOG12025.02 | 86.56 | 79.98 | 0.82 | — | — | — | — | — | |
| SeqSleepNetInput=SP, Subjects=57912025.02 | 86.5 | 78.5 | 0.81 | 91.8 | 49.1 | 88.2 | 83.5 | 88.2 | |
| SynthSleepNet + TCMTraining Type=SSL, Modality=EOG22025.02 | 85.15 | 78.41 | 0.8 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG2 + EOG2 + EMG1, Linear Probing=true2025.02 | 84.36 | 75.29 | 0.78 | — | — | — | — | — | |
| SleepExpertNetTraining Type=Supervised, Modality=EEG12025.02 | 84.33 | 76.93 | 0.79 | — | — | — | — | — | |
| IITNetTraining Type=Supervised, Modality=EEG12025.02 | 83.55 | 76 | 0.77 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG2 + EOG2, Linear Probing=true2025.02 | 83.28 | 73.98 | 0.77 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG2 + EOG2 + EMG1 + ECG1, Linear Probing=true2025.02 | 83.23 | 75.36 | 0.77 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG1 + EOG1 + EMG1, Linear Probing=true2025.02 | 82.62 | 74.09 | 0.64 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG2 + EOG2 + ECG1, Linear Probing=true2025.02 | 81.77 | 72.66 | 0.75 | — | — | — | — | — | |
| AttnSleepTraining Type=Supervised, Modality=EEG12025.02 | 81.38 | 72.49 | 0.74 | — | — | — | — | — | |
| TransSleepTraining Type=Supervised, Modality=EEG12025.02 | 81.31 | 75.44 | 0.74 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG1 + EOG1, Linear Probing=true2025.02 | 81.22 | 71.33 | 0.74 | — | — | — | — | — | |
| SleepFMBackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG2 + EOG2 + ECG1, Linear Probing=true2025.02 | 80.17 | 71.27 | 0.73 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG2, Linear Probing=true2025.02 | 80.03 | 70 | 0.73 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EEG1 + EOG1 + ECG1, Linear Probing=true2025.02 | 79.96 | 70.47 | 0.73 | — | — | — | — | — | |
| CroSSLBackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG2 + EOG1 + EMG1, Linear Probing=true2025.02 | 78.93 | 69.96 | 0.71 | — | — | — | — | — | |
| SynthSleepNetBackbone Architecture=NeuroNet, SSL Training Type=MP + CL, Modality (Count)=EOG2, Linear Probing=true2025.02 | 77.34 | 66.49 | 0.69 | — | — | — | — | — | |
| NeuroNetBackbone Architecture=CNN + VIT, SSL Training Type=MP + CL, Modality (Count)=EEG1, Linear Probing=true2025.02 | 77.29 | 68.25 | 0.69 | — | — | — | — | — | |
| ContraWRBackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG1, Linear Probing=true2025.02 | 76.31 | 67.28 | 0.68 | — | — | — | — | — | |
| MVCCBackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG1 + EOG1, Linear Probing=true2025.02 | 76.24 | 67.19 | 0.68 | — | — | — | — | — | |
| BioSig-UNetTraining Type=Supervised, Modality=EEG2 + EMG1 + ECG12025.02 | 76.11 | 64.14 | 0.53 | — | — | — | — | — | |
| mulEEGBackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG1, Linear Probing=true2025.02 | 75.35 | 66.36 | 0.66 | — | — | — | — | — | |
| NeuroNet-B+TCMEEG Epoch=202024.04 | 73.86 | 64.12 | — | — | — | — | — | — | |
| NeuroNet-T+TCMEEG Epoch=202024.04 | 73.82 | 63.2 | — | — | — | — | — | — | |
| TS-TCCBackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG1, Linear Probing=true2025.02 | 73.48 | 64.39 | 0.64 | — | — | — | — | — | |
| COCOABackbone Architecture=CNN, SSL Training Type=CL, Modality (Count)=EEG1 + EOG1 + EMG1, Linear Probing=true2025.02 | 73.12 | 64.28 | 0.64 | — | — | — | — | — | |
| NeuroNet-TEEG Epoch=12024.04 | 66.94 | 52.83 | — | — | — | — | — | — | |
| NeuroNet-BEEG Epoch=12024.04 | 66.68 | 52.83 | — | — | — | — | — | — | |
| BENDRBackbone Architecture=CNN + VIT, SSL Training Type=CL, Modality (Count)=EEG1, Linear Probing=true2025.02 | 65.5 | 57.17 | 0.54 | — | — | — | — | — | |
| SleepExpertNetEEG Epoch=202024.04 | 58.63 | 48.65 | — | — | — | — | — | — | |
| U-SleepEEG Epoch=352024.04 | 56.5 | 46.22 | — | — | — | — | — | — | |
| RAFNetTraining Type=Supervised, Modality=ECG12025.02 | 48.5 | 42.49 | 0.33 | — | — | — | — | — |