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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37122306 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Somaskandhan+P%22">Somaskandhan P</searchLink>; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Leppänen+T%22">Leppänen T</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Terrill+PI%22">Terrill PI</searchLink>; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Sigurdardottir+S%22">Sigurdardottir S</searchLink>; Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland.<br /><searchLink fieldCode="AU" term="%22Arnardottir+ES%22">Arnardottir ES</searchLink>; Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland.; Internal Medicine Services, Landspitali-The National University Hospital of Iceland, Reykjavik, Iceland.<br /><searchLink fieldCode="AU" term="%22Ólafsdóttir+KA%22">Ólafsdóttir KA</searchLink>; Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland.<br /><searchLink fieldCode="AU" term="%22Serwatko+M%22">Serwatko M</searchLink>; Department of Clinical Engineering, Landspitali University Hospital, Reykjavik, Iceland.<br /><searchLink fieldCode="AU" term="%22Sigurðardóttir+SÞ%22">Sigurðardóttir SÞ</searchLink>; Department of Immunology, Landspitali University Hospital, Reykjavik, Iceland.; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.<br /><searchLink fieldCode="AU" term="%22Clausen+M%22">Clausen M</searchLink>; Department of Allergy, Landspitali University Hospital, Reykjavik, Iceland.; Children's Hospital Reykjavik, Reykjavik, Iceland.<br /><searchLink fieldCode="AU" term="%22Töyräs+J%22">Töyräs J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Korkalainen+H%22">Korkalainen H</searchLink>; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101546899%22">Frontiers in neurology</searchLink> [Front Neurol] 2023 Apr 14; Vol. 14, pp. 1162998. <i>Date of Electronic Publication: </i>2023 Apr 14 (<i>Print Publication: </i>2023). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101546899 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-2295 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216642295%22">16642295 </searchLink><i>NLM ISO Abbreviation: </i>Front Neurol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37122306 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fneur.2023.1162998 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1162998 Titles: – TitleFull: Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Somaskandhan P – PersonEntity: Name: NameFull: Leppänen T – PersonEntity: Name: NameFull: Terrill PI – PersonEntity: Name: NameFull: Sigurdardottir S – PersonEntity: Name: NameFull: Arnardottir ES – PersonEntity: Name: NameFull: Ólafsdóttir KA – PersonEntity: Name: NameFull: Serwatko M – PersonEntity: Name: NameFull: Sigurðardóttir SÞ – PersonEntity: Name: NameFull: Clausen M – PersonEntity: Name: NameFull: Töyräs J – PersonEntity: Name: NameFull: Korkalainen H IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 04 Text: 2023 Apr 14 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1664-2295 Numbering: – Type: volume Value: 14 Titles: – TitleFull: Frontiers in neurology Type: main |
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