Automated sleep stage and event detection algorithms using quality-controlled polysomnography annotations.
Study Objectives To develop machine learning models for sleep stage classification, arousal detection, and respiratory event detection from overnight polysomnography, and to evaluate their performance relative to expert scorers. Methods Overnight polysomnography recordings were obtained from healthy...
| Publicado en: | Sleep Advances Vol. 7; no. 2; pp. 1 - 18 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |