Sleep assessment using EEG-based wearables - A systematic review.

Autor: de Gans CJ; Department of Internal Medicine, Section General Internal Medicine Unit Acute Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. Electronic address: c.degans@amsterdamumc.nl., Burger P; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Pediatrics, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, the Netherlands; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands., van den Ende ES; Department of Internal Medicine, Section General Internal Medicine Unit Acute Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands., Hermanides J; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Anesthesiology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands., Nanayakkara PWB; Department of Internal Medicine, Section General Internal Medicine Unit Acute Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands., Gemke RJBJ; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Pediatrics, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, the Netherlands; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands., Rutters F; Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Epidemiology and Data Science, Amsterdam University Medical Center, the Netherlands., Stenvers DJ; Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Department Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology and Metabolism (AGEM), Amsterdam, the Netherlands.
Jazyk: angličtina
Zdroj: Sleep medicine reviews [Sleep Med Rev] 2024 Aug; Vol. 76, pp. 101951. Date of Electronic Publication: 2024 May 07.
DOI: 10.1016/j.smrv.2024.101951
Abstrakt: Polysomnography (PSG) is the reference standard of sleep measurement, but is burdensome for the participant and labor intensive. Affordable electroencephalography (EEG)-based wearables are easy to use and are gaining popularity, yet selecting the most suitable device is a challenge for clinicians and researchers. In this systematic review, we aim to provide a comprehensive overview of available EEG-based wearables to measure human sleep. For each wearable, an overview will be provided regarding validated population and reported measurement properties. A systematic search was conducted in the databases OVID MEDLINE, Embase.com and CINAHL. A machine learning algorithm (ASReview) was utilized to screen titles and abstracts for eligibility. In total, 60 papers were selected, covering 34 unique EEG-based wearables. Feasibility studies indicated good tolerance, high compliance, and success rates. The 42 included validation studies were conducted across diverse populations and showed consistently high accuracy in sleep staging detection. Therefore, the recent advancements in EEG-based wearables show great promise as alternative for PSG and for at-home sleep monitoring. Users should consider factors like user-friendliness, comfort, and costs, as these devices vary in features and pricing, impacting their suitability for individual needs.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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