• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于眼电图的睡眠呼吸暂停患者睡眠-觉醒检测

Electro-oculography-based detection of sleep-wake in sleep apnea patients.

作者信息

Virkkala Jussi, Toppila Jussi, Maasilta Paula, Bachour Adel

机构信息

Sleep Laboratory, Finnish Institute of Occupational Health, Topeliuksenkatu 41 a A, 00250, Helsinki, Finland,

出版信息

Sleep Breath. 2015 Sep;19(3):785-9. doi: 10.1007/s11325-014-1060-3. Epub 2014 Oct 1.

DOI:10.1007/s11325-014-1060-3
PMID:25269754
Abstract

INTRODUCTION

Recently, we have developed a simple method that uses two electro-oculography (EOG) electrodes for the automatic scoring of sleep-wake in normal subjects. In this study, we investigated the usefulness of this method on 284 consecutive patients referred for a suspicion of sleep apnea who underwent a polysomnography (PSG).

METHOD

We applied the AASM 2007 scoring rules. A simple automatic sleep-wake classification algorithm based on 18-45 Hz beta power was applied to the calculated bipolar EOG channel and was compared to standard polysomnography. Epoch by epoch agreement was evaluated.

RESULT

Eighteen patients were excluded due to poor EOG quality. One hundred fifty-eight males and 108 females were studied, their mean age was 48 (range 17-89) years, apnea-hypopnea index 13 (range 0-96) /h, BMI 29 (range 17-52) kg/m(2), and sleep efficiency 78 (range 0-98) %. The mean agreement in sleep-wake states between EOG and PSG was 85% and the Cohen's kappa was 0.56. Overall epoch-by-epoch agreement was 85%, and the Cohen's kappa was 0.57 with positive predictive value of 91% and negative predictive value of 65%.

CONCLUSIONS

The EOG method can be applied to patients referred for suspicion of sleep apnea to indicate the sleep-wake state.

摘要

引言

最近,我们开发了一种简单的方法,该方法使用两个眼电图(EOG)电极对正常受试者的睡眠-觉醒进行自动评分。在本研究中,我们对284例因怀疑睡眠呼吸暂停而转诊并接受多导睡眠图(PSG)检查的连续患者,研究了该方法的实用性。

方法

我们应用了美国睡眠医学学会(AASM)2007年的评分规则。将基于18 - 45Hzβ波功率的简单自动睡眠-觉醒分类算法应用于计算出的双极EOG通道,并与标准多导睡眠图进行比较。逐段评估一致性。

结果

18例患者因EOG质量差被排除。研究了158名男性和108名女性,他们的平均年龄为48岁(范围17 - 89岁),呼吸暂停低通气指数为13次/小时(范围0 - 96次/小时),体重指数为29kg/m²(范围17 - 52kg/m²),睡眠效率为78%(范围0 - 98%)。EOG和PSG之间睡眠-觉醒状态的平均一致性为85%,Cohen's kappa系数为0.56。总体逐段一致性为85%,Cohen's kappa系数为0.57,阳性预测值为91%,阴性预测值为65%。

结论

EOG方法可应用于因怀疑睡眠呼吸暂停而转诊的患者,以指示睡眠-觉醒状态。

相似文献

1
Electro-oculography-based detection of sleep-wake in sleep apnea patients.基于眼电图的睡眠呼吸暂停患者睡眠-觉醒检测
Sleep Breath. 2015 Sep;19(3):785-9. doi: 10.1007/s11325-014-1060-3. Epub 2014 Oct 1.
2
Automatic sleep stage classification using two-channel electro-oculography.使用双通道眼电图进行自动睡眠阶段分类。
J Neurosci Methods. 2007 Oct 15;166(1):109-15. doi: 10.1016/j.jneumeth.2007.06.016. Epub 2007 Jun 28.
3
Automatic identification of sleep and wakefulness using single-channel EEG and respiratory polygraphy signals for the diagnosis of obstructive sleep apnea.使用单通道 EEG 和呼吸多导睡眠图信号自动识别睡眠和觉醒,用于诊断阻塞性睡眠呼吸暂停。
J Sleep Res. 2019 Apr;28(2):e12795. doi: 10.1111/jsr.12795. Epub 2018 Nov 26.
4
The use of two-channel electro-oculography in automatic detection of unintentional sleep onset.双通道眼电图在无意识睡眠起始自动检测中的应用。
J Neurosci Methods. 2007 Jun 15;163(1):137-44. doi: 10.1016/j.jneumeth.2007.02.001. Epub 2007 Feb 12.
5
The validity of wrist actimetry assessment of sleep with and without sleep apnea.佩戴和不佩戴睡眠呼吸暂停监测设备时手腕活动计对睡眠评估的有效性
J Clin Sleep Med. 2008 Oct 15;4(5):450-5.
6
Automatic detection of slow wave sleep using two channel electro-oculography.利用双通道眼电图自动检测慢波睡眠。
J Neurosci Methods. 2007 Feb 15;160(1):171-7. doi: 10.1016/j.jneumeth.2006.08.002. Epub 2006 Sep 11.
7
EOG-based auto-staging: less is more.
Sleep Breath. 2015 Sep;19(3):791-3. doi: 10.1007/s11325-015-1129-7. Epub 2015 Feb 6.
8
Sleep/wake measurement using a non-contact biomotion sensor.使用非接触式生物运动传感器测量睡眠/觉醒。
J Sleep Res. 2011 Jun;20(2):356-66. doi: 10.1111/j.1365-2869.2010.00876.x. Epub 2010 Aug 12.
9
Assessment of a portable monitoring device WatchPAT 200 in the diagnosis of obstructive sleep apnea.评估便携式监测设备 WatchPAT 200 在阻塞性睡眠呼吸暂停中的诊断价值。
Eur Arch Otorhinolaryngol. 2013 Nov;270(12):3099-105. doi: 10.1007/s00405-013-2555-4. Epub 2013 May 25.
10
Continuous positive airway pressure device-based automated detection of obstructive sleep apnea compared to standard laboratory polysomnography.基于持续气道正压通气设备的阻塞性睡眠呼吸暂停自动检测与标准实验室多导睡眠图的比较。
Sleep Breath. 2010 Jun;14(2):101-7. doi: 10.1007/s11325-009-0285-z. Epub 2009 Oct 14.

引用本文的文献

1
Recent Progress in Long-Term Sleep Monitoring Technology.近期长时睡眠监测技术的进展
Biosensors (Basel). 2023 Mar 17;13(3):395. doi: 10.3390/bios13030395.
2
Automatic Sleep Staging in Patients With Obstructive Sleep Apnea Using Single-Channel Frontal EEG.使用单通道额部 EEG 对阻塞性睡眠呼吸暂停患者进行自动睡眠分期。
J Clin Sleep Med. 2019 Oct 15;15(10):1411-1420. doi: 10.5664/jcsm.7964.

本文引用的文献

1
An improved algorithm for the automatic detection and characterization of slow eye movements.一种用于自动检测和表征慢眼动的改进算法。
Med Eng Phys. 2014 Jul;36(7):954-61. doi: 10.1016/j.medengphy.2014.03.019. Epub 2014 Apr 25.
2
Automatic scoring of sleep stages and cortical arousals using two electrodes on the forehead: validation in healthy adults.采用额部两个电极自动评分睡眠阶段和皮质唤醒:健康成年人的验证。
J Sleep Res. 2014 Apr;23(2):211-21. doi: 10.1111/jsr.12105. Epub 2013 Dec 7.
3
Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
双极眼动记录的自动睡眠分期与多位评分者的手动评分的准确性比较。
Sleep Med. 2013 Nov;14(11):1199-207. doi: 10.1016/j.sleep.2013.04.022. Epub 2013 Aug 16.
4
Performance of an automated polysomnography scoring system versus computer-assisted manual scoring.自动化多导睡眠图评分系统与计算机辅助手动评分的性能比较。
Sleep. 2013 Apr 1;36(4):573-82. doi: 10.5665/sleep.2548.
5
Retrospective cross-validation of automated sleep staging using electroocular recording in patients with and without sleep disordered breathing.在患有和未患有睡眠呼吸障碍的患者中使用眼电图记录进行自动睡眠分期的回顾性交叉验证。
Int Arch Med. 2012 Jun 25;5(1):21. doi: 10.1186/1755-7682-5-21.
6
Automatic sleep stage classification using two facial electrodes.使用两个面部电极进行自动睡眠阶段分类。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:1643-6. doi: 10.1109/IEMBS.2008.4649489.
7
Automatic analysis of single-channel sleep EEG: validation in healthy individuals.单通道睡眠脑电图的自动分析:在健康个体中的验证
Sleep. 2007 Nov;30(11):1587-95. doi: 10.1093/sleep/30.11.1587.
8
Automatic sleep stage classification using two-channel electro-oculography.使用双通道眼电图进行自动睡眠阶段分类。
J Neurosci Methods. 2007 Oct 15;166(1):109-15. doi: 10.1016/j.jneumeth.2007.06.016. Epub 2007 Jun 28.
9
Respiratory polygraphy with actigraphy in the diagnosis of sleep apnea-hypopnea syndrome.用于诊断睡眠呼吸暂停低通气综合征的呼吸多导睡眠监测与活动记录仪监测
Chest. 2007 Mar;131(3):725-732. doi: 10.1378/chest.06-1604.
10
Interrater reliability between scorers from eight European sleep laboratories in subjects with different sleep disorders.来自八个欧洲睡眠实验室的评分者对患有不同睡眠障碍的受试者的评分者间信度。
J Sleep Res. 2004 Mar;13(1):63-9. doi: 10.1046/j.1365-2869.2003.00375.x.