Automatic Sleep Stage Classification
13 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Automatic Sleep Stage Classification
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Sleep-EDF
Montreal Archive of Sleep Studies
ISRUC-Sleep
Most implemented papers
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
We show that, for the sleep stage scoring task, the expressiveness of an engineered feature vector is on par with the internally learned representations of deep learning models.
Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers
jathurshan0330/cross-modal-transformer
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Here, we propose a cross-modal transformer, which is a transformer-based method for sleep stage classification.
Contrastive Learning for Sleep Staging based on Inter Subject Correlation
In recent years, multitudes of researches have applied deep learning to automatic sleep stage classification.
