Automated remote sleep monitoring needs uncertainty quantification.

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Bibliographic Details
Title: Automated remote sleep monitoring needs uncertainty quantification.
Authors: Heremans ERM; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium., Van den Bulcke L; Neuropsychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium., Seedat N; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK., Devulder A; Department of Neurology, University Hospitals Leuven, Leuven, Belgium., Borzée P; Department of Pneumology, University Hospitals Leuven, Leuven, Belgium., Buyse B; Department of Pneumology, University Hospitals Leuven, Leuven, Belgium., Testelmans D; Department of Pneumology, University Hospitals Leuven, Leuven, Belgium., Van Den Bossche M; Neuropsychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium., van der Schaar M; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK., De Vos M; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.; Department of Regeneration, KU Leuven, Leuven, Belgium.
Source: Journal of sleep research [J Sleep Res] 2025 Feb; Vol. 34 (1), pp. e14300. Date of Electronic Publication: 2024 Aug 07.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Published on behalf of the European Sleep Research Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 9214441 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2869 (Electronic) Linking ISSN: 09621105 NLM ISO Abbreviation: J Sleep Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1365-2869
DOI:10.1111/jsr.14300