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

Author:

Phan Huy1ORCID,Lorenzen Kristian P.2ORCID,Heremans Elisabeth3ORCID,Chén Oliver Y.4ORCID,Tran Minh C.5ORCID,Koch Philipp6,Mertins Alfred6ORCID,Baumert Mathias7ORCID,Mikkelsen Kaare B.2ORCID,De Vos Maarten8ORCID

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

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