A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies-Reference-Cited by-同舟云学术

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A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies

Published:2024-08 Issue:8 Volume:71 Page:2506-2517
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Olsen Mads¹^ORCID,Zeitzer Jamie M.²^ORCID,Nakase-Richardson Risa³,Musgrave Valerie H²,Sørensen Helge B. D.⁴^ORCID,Mignot Emmanuel²^ORCID,Jennum Poul J.⁵^ORCID

Affiliation:

1. Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA

2. Department of Psychiatry and Behavioral Sciences, Stanford University, USA

3. James A. Haley Veterans Hospital (Research) and the Division of Pulmonary and Sleep Medicine, Morsani College of Medicine, University of South Florida, USA

4. Biomedical Signal Processing & AI Research Group, Department of Health Technology, Technical University of Denmark, Denmark

5. Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Denmark

Funder

Augustinus Fonden

Knud Højgaards Fond

Marie and M.B. Richters Fond

Danmark Amerika Fonden

Reinholdt W. Jorck og Hustrus Fond

Otto Mønsted Fonden

Copenhagen Center for Health Technology

Danmarks Tekniske Universitet

Klarman Family Foundation

Patient-Centered Outcomes Research Institute

Amazfit

Zepp Inc.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10/10604459/10474138.pdf?arnumber=10474138

Reference52 articles.

2. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis

3. Obesity, Cardiovascular Disease and Sleep Disorders: Insights into the Rising Epidemic

4. Increased Prevalence of Sleep-Disordered Breathing in Adults

5. Prevalence and Assessment of Sleep-Disordered Breathing in Patients With Atrial Fibrillation: A Systematic Review and Meta-analysis

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