Multimodal Sleep Stage Detection On Surrey
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
---|---|---|---|
Scratch SeqSleepNet+ (EEG+EOG) | 81.5% | Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning |
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