Temporally Continuous Automated Sleep-Wake Classification Using Deep Learning.

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Bibliographic Details
Title: Temporally Continuous Automated Sleep-Wake Classification Using Deep Learning.
Authors: Somaskandhan P; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia., Korkalainen H; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Clinical Research Center, Kuopio University Hospital, Kuopio, Finland., Leppänen T; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Clinical Research Center, Kuopio University Hospital, Kuopio, Finland., Toyras J; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Science Service Center, Kuopio University Hospital, Kuopio, Finland., Melehan K; Royal Prince Alfred Hospital, Sydney, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia., Ruehland W; Institute for Breathing and Sleep, Victoria, Australia.; Department of Respiratory and Sleep Medicine, Austin Health, Victoria, Australia., Sands SA; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA., Mann DL; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia., Wilson DL; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.; Institute for Breathing and Sleep, Victoria, Australia., Terrill PI; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Dec 04. Date of Electronic Publication: 2025 Dec 04.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.64898/2025.12.03.25341129