L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging-Reference-Cited by-同舟云学术

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging

Published:2023-10 Issue:10 Volume:27 Page:4748-4757
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Phan Huy¹^ORCID,Lorenzen Kristian P.²^ORCID,Heremans Elisabeth³^ORCID,Chén Oliver Y.⁴^ORCID,Tran Minh C.⁵^ORCID,Koch Philipp⁶,Mertins Alfred⁶^ORCID,Baumert Mathias⁷^ORCID,Mikkelsen Kaare B.²^ORCID,De Vos Maarten⁸^ORCID

Affiliation:

1. Amazon Alexa, Cambridge, MA, USA

2. Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

3. Department of Electrical Engineering, KU Leuven, Leuven, Belgium

4. Department of Laboratory Medicine and Pathology (DMLP), Lausanne University Hospital (CHUV), Lausanne, Switzerland

5. Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K.

6. Institute for Signal Processing, University of Lübeck, Lübeck, Germany

7. School of Electrical and Mechanical Engineering, The University of Adelaide, Adelaide, SA, Australia

8. Department of Electrical Engineering and the Department of Development and Regeneration, KU Leuven, Leuven, Belgium

Funder

Turing Fellowship

Engineering and Physical Sciences Research Council

Vlaamse regering

FWO Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10272722/10210638.pdf?arnumber=10210638

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4. The american academy of sleep medicine inter-scorer reliability program: Sleep stage scoring;rosenberg;J Clin Sleep Med,2013

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