Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls.
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| Title: | Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls. |
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| Authors: | Somaskandhan P; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia., Leppänen T; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia.; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland., Terrill PI; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia., Sigurdardottir S; Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland., Arnardottir ES; Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland.; Internal Medicine Services, Landspitali-The National University Hospital of Iceland, Reykjavik, Iceland., Ólafsdóttir KA; Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland., Serwatko M; Department of Clinical Engineering, Landspitali University Hospital, Reykjavik, Iceland., Sigurðardóttir SÞ; Department of Immunology, Landspitali University Hospital, Reykjavik, Iceland.; Faculty of Medicine, University of Iceland, Reykjavik, Iceland., Clausen M; Department of Allergy, Landspitali University Hospital, Reykjavik, Iceland.; Children's Hospital Reykjavik, Reykjavik, Iceland., Töyräs J; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia.; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Science Service Center, Kuopio University Hospital, Kuopio, Finland., Korkalainen H; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland. |
| Source: | Frontiers in neurology [Front Neurol] 2023 Apr 14; Vol. 14, pp. 1162998. Date of Electronic Publication: 2023 Apr 14 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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