A journey toward artificial intelligence-assisted automated sleep scoring
1Department of Neuroscience, Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT 06520, USA.
Patterns (New York, N.Y.)
|January 26, 2022
Summary
Automated sleep scoring using deep learning significantly speeds up analysis of sleep records. This U-net based algorithm accurately annotates sleep stages in seconds, overcoming clinical challenges.
Failed At:
2026-06-19T13:39:24.484659+00:00
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