CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection

CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection

Abstract Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studies show that supine posture can lead to a higher occurrence of obstructive sleep apnea, while lateral posture might reduce it. For bedridden patients, frequent posture changes are essential t...

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Bibliographic Details
Main Authors: Dikun Hu, Weidong Gao, Kai Keng Ang, Mengjiao Hu, Rong Huang, Gang Chuai, Xiaoyan Li
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Sleep posture
Markov Model optimization
Multi-scaled features fusion
Home sleep test
Online Access:https://doi.org/10.1038/s41598-025-93541-0
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https://doi.org/10.1038/s41598-025-93541-0

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