• 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

利用气管声音诊断睡眠呼吸暂停。

The use of tracheal sounds for the diagnosis of sleep apnoea.

作者信息

Penzel Thomas, Sabil AbdelKebir

机构信息

Interdisciplinary Sleep Medicine Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Research and Development at CIDELEC, Sainte Gemmes, France.

出版信息

Breathe (Sheff). 2017 Jun;13(2):e37-e45. doi: 10.1183/20734735.008817.

DOI:10.1183/20734735.008817
PMID:29184596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5702894/
Abstract

UNLABELLED

Tracheal sounds have been the subject of many research studies. In this review, we describe the state of the art, original work relevant to upper airways obstruction during sleep, and ongoing research concerning the methods used when analysing tracheal sounds. Tracheal sound sensors are a simple and noninvasive means of measurement and are more reliable than other breathing sensors. Developments in acoustic processing techniques and enhancements in tracheal sound signals over the past decade have led to improvements in the accuracy and clinical relevance of diagnoses based on this technology. Past and current research suggests that they may have a significant role in the diagnosis of obstructive sleep apnoea.

KEY POINTS

Tracheal sounds are currently a topic of significant interest but are not yet used in most routine sleep study systems.Measured at the suprasternal notch, tracheal sounds can provide reliable information on breathing sounds, snoring sounds and respiratory efforts.Tracheal sounds may be used as a noninvasive method of studying abnormalities of the upper airways during wakefulness.

EDUCATIONAL AIMS

To understand the principles of tracheal sound measurement and analysis.To highlight the importance of tracheal sounds for the diagnosis of sleep apnoea-hypopnoea syndrome.To present the most relevant clinical studies that have validated the use of tracheal sound sensors and to make future clinical validation studies possible.

摘要

未标注

气管声音一直是许多研究的主题。在本综述中,我们描述了当前的技术水平、与睡眠期间上气道阻塞相关的原创性研究,以及有关分析气管声音时所使用方法的正在进行的研究。气管声音传感器是一种简单且无创的测量手段,比其他呼吸传感器更可靠。过去十年中,声学处理技术的发展以及气管声音信号的增强,使得基于该技术的诊断准确性和临床相关性得到了提高。过去和当前的研究表明,它们可能在阻塞性睡眠呼吸暂停的诊断中发挥重要作用。

关键点

气管声音目前是一个备受关注的话题,但尚未在大多数常规睡眠研究系统中使用。在胸骨上切迹处测量时,气管声音可以提供有关呼吸音、打鼾声和呼吸努力的可靠信息。气管声音可作为一种在清醒状态下研究上气道异常的无创方法。

教育目标

了解气管声音测量和分析的原理。强调气管声音对睡眠呼吸暂停低通气综合征诊断的重要性。介绍已验证气管声音传感器使用的最相关临床研究,并使未来的临床验证研究成为可能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/1c7242ba1ea5/EDU-0088-2017.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/b7bac6bb24c9/EDU-0088-2017.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/92f5b40c6ddf/EDU-0088-2017.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/d453a3bfa031/EDU-0088-2017.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/890c7b87c0ef/EDU-0088-2017.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/c8fe59b994c8/EDU-0088-2017.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/1c7242ba1ea5/EDU-0088-2017.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/b7bac6bb24c9/EDU-0088-2017.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/92f5b40c6ddf/EDU-0088-2017.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/d453a3bfa031/EDU-0088-2017.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/890c7b87c0ef/EDU-0088-2017.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/c8fe59b994c8/EDU-0088-2017.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a8/5702894/1c7242ba1ea5/EDU-0088-2017.06.jpg

相似文献

1
The use of tracheal sounds for the diagnosis of sleep apnoea.利用气管声音诊断睡眠呼吸暂停。
Breathe (Sheff). 2017 Jun;13(2):e37-e45. doi: 10.1183/20734735.008817.
2
Tracheal Sound Analysis.气管音分析。
Adv Exp Med Biol. 2022;1384:265-280. doi: 10.1007/978-3-031-06413-5_16.
3
Removing of Snoring Segments from Tracheal Breathing Sounds using a Wavelet-based Algorithm.基于小波算法从气管呼吸音中去除打鼾片段
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:764-767. doi: 10.1109/EMBC44109.2020.9176630.
4
Detection of compressed tracheal sound patterns with large amplitude variation during sleep.睡眠期间大振幅变化的压缩气管音模式检测。
Med Biol Eng Comput. 2008 Apr;46(4):315-21. doi: 10.1007/s11517-008-0317-z. Epub 2008 Feb 21.
5
Using tracheal breathing sounds and anthropometric information for screening obstructive sleep apnoea during wakefulness.利用气管呼吸音和人体测量信息在清醒状态下筛查阻塞性睡眠呼吸暂停。
J Med Eng Technol. 2019 Feb;43(2):111-123. doi: 10.1080/03091902.2019.1617799. Epub 2019 Jun 18.
6
Automatic Respiratory Phase Identification Using Tracheal Sounds and Movements During Sleep.使用睡眠期间的气管音和运动进行自动呼吸相位识别。
Ann Biomed Eng. 2021 Jun;49(6):1521-1533. doi: 10.1007/s10439-020-02651-5. Epub 2021 Jan 5.
7
A New Feature with the Potential to Detect the Severity of Obstructive Sleep Apnoea via Snoring Sound Analysis.打鼾声音分析新特征可用于检测阻塞性睡眠呼吸暂停严重程度。
Int J Environ Res Public Health. 2020 Apr 24;17(8):2951. doi: 10.3390/ijerph17082951.
8
Design and Analysis of a Contact Piezo Microphone for Recording Tracheal Breathing Sounds.用于记录气管呼吸音的接触式压电麦克风的设计与分析。
Sensors (Basel). 2024 Aug 26;24(17):5511. doi: 10.3390/s24175511.
9
Sleep Stage Detection Using Tracheal Breathing Sounds: A Pilot Study.利用气管呼吸音进行睡眠阶段检测:一项初步研究。
Ann Biomed Eng. 2015 Oct;43(10):2530-7. doi: 10.1007/s10439-015-1290-y. Epub 2015 Mar 5.
10
Surgery for obstructive sleep apnoea.阻塞性睡眠呼吸暂停的手术治疗。
Cochrane Database Syst Rev. 2005 Oct 19(4):CD001004. doi: 10.1002/14651858.CD001004.pub2.

引用本文的文献

1
Transforming Sleep Monitoring: Review of Wearable and Remote Devices Advancing Home Polysomnography and Their Role in Predicting Neurological Disorders.变革睡眠监测:可穿戴设备及远程设备在推进家庭多导睡眠图技术中的应用综述及其在预测神经疾病中的作用
Biosensors (Basel). 2025 Feb 17;15(2):117. doi: 10.3390/bios15020117.
2
SiCRNN: A Siamese Approach for Sleep Apnea Identification via Tracheal Microphone Signals.SiCRNN:一种通过气管麦克风信号识别睡眠呼吸暂停的连体方法。
Sensors (Basel). 2024 Dec 5;24(23):7782. doi: 10.3390/s24237782.
3
Combining Signals for EEG-Free Arousal Detection during Home Sleep Testing: A Retrospective Study.

本文引用的文献

1
Detecting Breathing and Snoring Episodes Using a Wireless Tracheal Sensor-A Feasibility Study.使用无线气管传感器检测呼吸和打鼾事件 - 一项可行性研究。
IEEE J Biomed Health Inform. 2017 Nov;21(6):1504-1510. doi: 10.1109/JBHI.2016.2632976. Epub 2016 Nov 29.
2
Validation of a Suprasternal Pressure Sensor for Sleep Apnea Classification in Children.用于儿童睡眠呼吸暂停分类的胸骨上压力传感器的验证
J Clin Sleep Med. 2016 Dec 15;12(12):1641-1647. doi: 10.5664/jcsm.6350.
3
Obstructive Sleep Apnea Screening and Airway Structure Characterization During Wakefulness Using Tracheal Breathing Sounds.
家庭睡眠测试期间用于无脑电图觉醒检测的信号组合:一项回顾性研究。
Diagnostics (Basel). 2024 Sep 19;14(18):2077. doi: 10.3390/diagnostics14182077.
4
Design and Analysis of a Contact Piezo Microphone for Recording Tracheal Breathing Sounds.用于记录气管呼吸音的接触式压电麦克风的设计与分析。
Sensors (Basel). 2024 Aug 26;24(17):5511. doi: 10.3390/s24175511.
5
Validation of Tracheal Sound-Based Respiratory Effort Monitoring for Obstructive Sleep Apnoea Diagnosis.基于气管声音的呼吸努力监测用于阻塞性睡眠呼吸暂停诊断的验证
J Clin Med. 2024 Jun 20;13(12):3628. doi: 10.3390/jcm13123628.
6
Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics.用于即时诊断的具有嵌入式人工智能的非接触式热和声传感器。
Sensors (Basel). 2023 Dec 26;24(1):129. doi: 10.3390/s24010129.
7
Automatic Heart Rate Detection during Sleep Using Tracheal Audio Recordings from Wireless Acoustic Sensor.利用无线声学传感器的气管音频记录在睡眠期间自动检测心率
Diagnostics (Basel). 2023 Sep 11;13(18):2914. doi: 10.3390/diagnostics13182914.
8
Sleep Apnea Detection by Tracheal Motion and Sound, and Oximetry via Application of Deep Neural Networks.基于气管运动、声音及血氧饱和度,运用深度神经网络进行睡眠呼吸暂停检测
Nat Sci Sleep. 2023 May 30;15:423-432. doi: 10.2147/NSS.S397196. eCollection 2023.
9
Dynamic Bayesian Model for Detecting Obstructive Respiratory Events by Using an Experimental Model.利用实验模型检测阻塞性呼吸事件的动态贝叶斯模型。
Sensors (Basel). 2023 Mar 23;23(7):3371. doi: 10.3390/s23073371.
10
Body Acoustics for the Non-Invasive Diagnosis of Medical Conditions.用于医学状况无创诊断的人体声学
Bioengineering (Basel). 2022 Apr 1;9(4):149. doi: 10.3390/bioengineering9040149.
使用气管呼吸音进行清醒状态下阻塞性睡眠呼吸暂停筛查及气道结构特征分析
Ann Biomed Eng. 2017 Mar;45(3):839-850. doi: 10.1007/s10439-016-1720-5. Epub 2016 Sep 6.
4
Identification of Obstructive Sleep Apnea patients from tracheal breath sound analysis during wakefulness in polysomnographic studies.在多导睡眠图研究中,通过清醒时气管呼吸音分析识别阻塞性睡眠呼吸暂停患者。
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4232-5. doi: 10.1109/EMBC.2014.6944558.
5
A comparison between recording sites of snoring sounds in relation to upper airway obstruction.与上气道阻塞相关的打鼾声音记录部位之间的比较。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4246-9. doi: 10.1109/EMBC.2012.6346904.
6
Snoring sounds variability as a signature of obstructive sleep apnea.打鼾声音的可变性是阻塞性睡眠呼吸暂停的特征。
Med Eng Phys. 2013 Apr;35(4):479-85. doi: 10.1016/j.medengphy.2012.06.013. Epub 2012 Jul 21.
7
Obstructive sleep apnea prediction during wakefulness.清醒状态下阻塞性睡眠呼吸暂停的预测
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:773-6. doi: 10.1109/IEMBS.2011.6090177.
8
Multiclass classification of subjects with sleep apnoea-hypopnoea syndrome through snoring analysis.通过打鼾分析对睡眠呼吸暂停低通气综合征患者进行多分类。
Med Eng Phys. 2012 Nov;34(9):1213-20. doi: 10.1016/j.medengphy.2011.12.008. Epub 2012 Jan 9.
9
Correlation between severity of sleep apnea and upper airway morphology: Cephalometry and MD-CT study during awake and sleep states.睡眠呼吸暂停严重程度与上气道形态的相关性:清醒和睡眠状态下的头影测量和MD-CT研究
Acta Otolaryngol. 2011 Jan;131(1):84-90. doi: 10.3109/00016489.2010.514007. Epub 2010 Oct 20.
10
[Sleep apnea syndrome: clinical practice guidelines].[睡眠呼吸暂停综合征:临床实践指南]
Rev Mal Respir. 2010 Sep;27(7):804-5. doi: 10.1016/j.rmr.2010.06.004. Epub 2010 Jul 31.