Deep Learning Automatic Sleep Staging Method Based on Multidimensional Sleep Data

Deep Learning Automatic Sleep Staging Method Based on Multidimensional Sleep Data

Polysomnography (PSG) is commonly used to diagnose sleep disorders. However, manual sleep staging is a time-consuming task due to high human effort and technical thresholds, and it involves certain subjective factors. To improve the efficiency of sleep staging, this paper proposes a deep learning au...

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Bibliographic Details
Main Authors: Jian Yang, Yao Meng, Qian Cheng, Huafei Li, Wenpeng Cai, Tengjiao Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Polysomnography
sleep stages
continuous wavelet transform
SMOTE
two-step training algorithm
Online Access:https://ieeexplore.ieee.org/document/10750821/

Internet

https://ieeexplore.ieee.org/document/10750821/

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