Spindle Detection On Mass Ss2
Metrics
F1-score (@IoU = 0.3)
Results
Performance results of various models on this benchmark
Model Name | F1-score (@IoU = 0.3) | Paper Title | Repository |
|---|---|---|---|
| Spinky | 0.46 | Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS). | |
| DOSED | 0.75 | DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal | |
| RED-CWT | 0.809 | RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection | |
| MUSSDET | 0.39 | A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET. | - |
| Multichannel Low-Rank | 0.50 | Multichannel sleep spindle detection using sparse low-rank optimization | |
| RED-Time | 0.812 | RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection |
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