Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed, and in particular, deep-learning based algorithms have achieved performance on par with human annotation. Despite improved per...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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IEEE,
2024-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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