A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea-Reference-Cited by-同舟云学术

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A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea

Published:2018-06 Issue:6 Volume:65 Page:1201-1212
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Kang Dae Y.^ORCID,DeYoung Pamela N.,Malhotra Atul,Owens Robert L.,Coleman Todd P.^ORCID

Funder

National Heart Lung and Blood Institute

National Institute of General Medical Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

https://ieeexplore.ieee.org/ielaam/10/8360977/7921696-aam.pdf

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models;IEEE Journal of Biomedical and Health Informatics;2024-01

4. Automatic Sleep Stage Classification Model with Longer Sequence Learning for OSA Patients;2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS);2023-11-23

5. Detecting Sleep-Related Breathing Disorders Using FMCW Radar;Journal of Electromagnetic Engineering and Science;2023-09-30

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