Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders
Abstract Deep learning methods have gained significant attention in sleep science. This study aimed to assess the performance of a deep learning-based sleep stage classification model constructed using fewer physiological parameters derived from cardiorespiratory and body movement data. Overnight po...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-45020-7 |