使用脑电图可穿戴设备进行睡眠评估 - 系统综述

IF 11.2 1区 医学 Q1 CLINICAL NEUROLOGY
C.J. de Gans , P. Burger , E.S. van den Ende , J. Hermanides , P.W.B. Nanayakkara , R.J.B.J. Gemke , F. Rutters , D.J. Stenvers
{"title":"使用脑电图可穿戴设备进行睡眠评估 - 系统综述","authors":"C.J. de Gans ,&nbsp;P. Burger ,&nbsp;E.S. van den Ende ,&nbsp;J. Hermanides ,&nbsp;P.W.B. Nanayakkara ,&nbsp;R.J.B.J. Gemke ,&nbsp;F. Rutters ,&nbsp;D.J. Stenvers","doi":"10.1016/j.smrv.2024.101951","DOIUrl":null,"url":null,"abstract":"<div><p>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<strong>,</strong> 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.</p></div>","PeriodicalId":49513,"journal":{"name":"Sleep Medicine Reviews","volume":null,"pages":null},"PeriodicalIF":11.2000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1087079224000558/pdfft?md5=5757a5c8010e5bba8fe2f2b638b96be6&pid=1-s2.0-S1087079224000558-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Sleep assessment using EEG-based wearables – A systematic review\",\"authors\":\"C.J. de Gans ,&nbsp;P. Burger ,&nbsp;E.S. van den Ende ,&nbsp;J. Hermanides ,&nbsp;P.W.B. Nanayakkara ,&nbsp;R.J.B.J. Gemke ,&nbsp;F. Rutters ,&nbsp;D.J. Stenvers\",\"doi\":\"10.1016/j.smrv.2024.101951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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<strong>,</strong> 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.</p></div>\",\"PeriodicalId\":49513,\"journal\":{\"name\":\"Sleep Medicine Reviews\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":11.2000,\"publicationDate\":\"2024-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1087079224000558/pdfft?md5=5757a5c8010e5bba8fe2f2b638b96be6&pid=1-s2.0-S1087079224000558-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep Medicine Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1087079224000558\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep Medicine Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1087079224000558","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

多导睡眠图(PSG)是睡眠测量的参考标准,但对参与者来说是一种负担,而且需要大量人力。经济实惠的脑电图(EEG)可穿戴设备使用方便,越来越受到欢迎,但对于临床医生和研究人员来说,选择最合适的设备是一项挑战。在本系统综述中,我们旨在全面概述现有的基于脑电图的可穿戴设备,以测量人类睡眠。对于每种可穿戴设备,我们都将提供有关验证人群和报告测量特性的概述。我们在 OVID MEDLINE、Embase.com 和 CINAHL 数据库中进行了系统检索。利用机器学习算法(ASReview)筛选符合条件的标题和摘要。共筛选出 60 篇论文,涉及 34 种基于脑电图的可穿戴设备。可行性研究显示了良好的耐受性、较高的依从性和成功率。所纳入的 42 项验证研究针对不同人群进行,结果显示睡眠分期检测的准确性始终很高。因此,基于脑电图的可穿戴设备的最新进展显示出作为 PSG 和家庭睡眠监测的替代品的巨大前景。由于这些设备的功能和价格各不相同,影响了它们对个人需求的适用性,因此用户应考虑设备的易用性、舒适度和成本等因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sleep assessment using EEG-based wearables – A systematic review

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Sleep Medicine Reviews
Sleep Medicine Reviews 医学-临床神经学
CiteScore
20.10
自引率
3.80%
发文量
107
期刊介绍: Sleep Medicine Reviews offers global coverage of sleep disorders, exploring their origins, diagnosis, treatment, and implications for related conditions at both individual and public health levels. Articles comprehensively review clinical information from peer-reviewed journals across various disciplines in sleep medicine, encompassing pulmonology, psychiatry, psychology, physiology, otolaryngology, pediatrics, geriatrics, cardiology, dentistry, nursing, neurology, and general medicine. The journal features narrative reviews, systematic reviews, and editorials addressing areas of controversy, debate, and future research within the field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信