• 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

一种具有时域信号处理和自动评分功能的家用睡眠呼吸暂停筛查设备。

A home sleep apnea screening device with time-domain signal processing and autonomous scoring capability.

作者信息

Jin Jiayi, Sánchez-Sinencio Edgar

出版信息

IEEE Trans Biomed Circuits Syst. 2015 Feb;9(1):96-104. doi: 10.1109/TBCAS.2014.2314301. Epub 2014 Jun 3.

DOI:10.1109/TBCAS.2014.2314301
PMID:25486649
Abstract

Current solutions of sleep apnea diagnosis require the patient to undergo overnight studies at a specialized sleep laboratory. Due to such inconvenience and high cost, millions of sleep apnea patients remain undiagnosed and thus untreated. Based on a micro-electro-mechanical systems (MEMS) sensor and an effective apnea detection algorithm, we propose a low-cost single-channel apnea screening solution applicable in the comfort of patients' homes. A prototype device was designed and assembled including a MEMS sensor for measuring the patient's nasal air flows, and a time-domain signal processing IC for apnea detection and autonomous scoring. The IC chip was fabricated in standard 0.5- μm CMOS technology. The proposed device was tested for both respiratory rhythm detection and sleep apnea screening under clinical environment. Apnea-hypopnea indices (AHI) were scored to indicate severity of sleep apnea conditions. Test results suggest that the proposed device can be a valuable screening solution for the broader public with undiagnosed apnea conditions.

摘要

目前的睡眠呼吸暂停诊断方法要求患者在专门的睡眠实验室进行整夜研究。由于这种不便和高成本,数百万睡眠呼吸暂停患者仍未得到诊断,因此也未得到治疗。基于微机电系统(MEMS)传感器和有效的呼吸暂停检测算法,我们提出了一种低成本的单通道呼吸暂停筛查解决方案,适用于患者在家中舒适使用。设计并组装了一个原型设备,包括一个用于测量患者鼻腔气流的MEMS传感器,以及一个用于呼吸暂停检测和自主评分的时域信号处理集成电路。该集成电路芯片采用标准的0.5微米CMOS技术制造。在临床环境下对所提出的设备进行了呼吸节律检测和睡眠呼吸暂停筛查测试。对呼吸暂停低通气指数(AHI)进行评分,以表明睡眠呼吸暂停状况的严重程度。测试结果表明,所提出的设备对于更广泛的未诊断呼吸暂停状况的公众来说可能是一种有价值的筛查解决方案。

相似文献

1
A home sleep apnea screening device with time-domain signal processing and autonomous scoring capability.一种具有时域信号处理和自动评分功能的家用睡眠呼吸暂停筛查设备。
IEEE Trans Biomed Circuits Syst. 2015 Feb;9(1):96-104. doi: 10.1109/TBCAS.2014.2314301. Epub 2014 Jun 3.
2
[Developing the portable type sleep apnea detector, and verifying the usefulness of the device].[开发便携式睡眠呼吸暂停检测仪,并验证该设备的实用性]
Seishin Shinkeigaku Zasshi. 1997;99(4):181-97.
3
[Validation of the Sleep-Doc-Porti system for ambulatory sleep apnea diagnosis].[用于动态睡眠呼吸暂停诊断的Sleep-Doc-Porti系统的验证]
Pneumologie. 1995 Sep;49(9):496-501.
4
Design, construction and evaluation of an ambulatory device for screening of sleep apnea.一种用于睡眠呼吸暂停筛查的便携式设备的设计、构建与评估
Med Biol Eng Comput. 2009 Jan;47(1):59-66. doi: 10.1007/s11517-008-0418-8. Epub 2008 Nov 5.
5
Real-time apnea-hypopnea event detection during sleep by convolutional neural networks.卷积神经网络在睡眠期间实时检测呼吸暂停低通气事件。
Comput Biol Med. 2018 Sep 1;100:123-131. doi: 10.1016/j.compbiomed.2018.06.028. Epub 2018 Jun 28.
6
Evaluation of a novel ambulatory device for screening of sleep apnea.一种用于筛查睡眠呼吸暂停的新型便携式设备的评估
Telemed J E Health. 2009 Apr;15(3):283-9. doi: 10.1089/tmj.2008.0118.
7
Sleep apnea diagnosis using an ECG Holter device including a nasal pressure (NP) recording: validation of visual and automatic analysis of nasal pressure versus full polysomnography.使用包括鼻压力(NP)记录的心电图动态监测设备进行睡眠呼吸暂停诊断:鼻压力视觉和自动分析与全夜多导睡眠图的验证
Sleep Med. 2009 Jun;10(6):651-6. doi: 10.1016/j.sleep.2008.07.002. Epub 2008 Nov 22.
8
Time domain characterization for sleep apnea in oronasal airflow signal: a dynamic threshold classification approach.时域特征分析在口鼻腔气流信号中的睡眠呼吸暂停:一种动态阈值分类方法。
Physiol Meas. 2019 Jun 4;40(5):054007. doi: 10.1088/1361-6579/aaf4a9.
9
Remote respiration monitoring system for sleep apnea detection.用于睡眠呼吸暂停检测的远程呼吸监测系统。
Rev Med Chir Soc Med Nat Iasi. 2013 Jan-Mar;117(1):268-74.
10
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.

引用本文的文献

1
Key Vital Signs Monitor Based on MIMO Radar.基于多输入多输出雷达的关键生命体征监测仪
Sensors (Basel). 2025 Jun 30;25(13):4081. doi: 10.3390/s25134081.
2
A highly sensitive flexible humidity sensor based on conductive tape and a carboxymethyl cellulose@graphene composite.一种基于导电胶带和羧甲基纤维素@石墨烯复合材料的高灵敏柔性湿度传感器。
RSC Adv. 2023 Sep 18;13(40):27746-27755. doi: 10.1039/d3ra05232j.
3
The Role of Novel Digital Clinical Tools in the Screening or Diagnosis of Obstructive Sleep Apnea: Systematic Review.新型数字临床工具在阻塞性睡眠呼吸暂停筛查或诊断中的作用:系统评价。
J Med Internet Res. 2023 Jul 26;25:e47735. doi: 10.2196/47735.
4
A Low-Cost Flexible Perforated Respiratory Sensor Based on Platinum for Continuous Respiratory Monitoring.一种基于铂的低成本柔性多孔呼吸传感器用于连续呼吸监测。
Micromachines (Basel). 2022 Oct 14;13(10):1743. doi: 10.3390/mi13101743.
5
Contact and Remote Breathing Rate Monitoring Techniques: A Review.接触式和远程呼吸频率监测技术:综述
IEEE Sens J. 2021 Apr 12;21(13):14569-14586. doi: 10.1109/JSEN.2021.3072607. eCollection 2021 Jul 1.
6
Fusion of Whole Night Features and Desaturation Segments Combined with Feature Extraction for Event-Level Screening of Sleep-Disordered Breathing.结合整夜特征与去饱和片段融合及特征提取用于睡眠呼吸障碍事件级筛查
Nat Sci Sleep. 2022 May 17;14:927-940. doi: 10.2147/NSS.S355369. eCollection 2022.
7
Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications.基于物联网的睡眠呼吸暂停监测系统在医疗保健中的应用开发。
Comput Math Methods Med. 2021 Nov 3;2021:7152576. doi: 10.1155/2021/7152576. eCollection 2021.
8
Improving Sleep Quality Assessment Using Wearable Sensors by Including Information From Postural/Sleep Position Changes and Body Acceleration: A Comparison of Chest-Worn Sensors, Wrist Actigraphy, and Polysomnography.利用可穿戴传感器通过纳入来自姿势/睡眠体位变化和身体加速度的信息来改善睡眠质量评估:胸部佩戴传感器、腕部活动记录仪和多导睡眠图的比较。
J Clin Sleep Med. 2017 Nov 15;13(11):1301-1310. doi: 10.5664/jcsm.6802.
9
A Review on Detection and Treatment Methods of Sleep Apnea.睡眠呼吸暂停的检测与治疗方法综述
J Clin Diagn Res. 2017 Mar;11(3):VE01-VE03. doi: 10.7860/JCDR/2017/24129.9535. Epub 2017 Mar 1.
10
Assessing the severity of sleep apnea syndrome based on ballistocardiogram.基于心冲击图评估睡眠呼吸暂停综合征的严重程度。
PLoS One. 2017 Apr 26;12(4):e0175351. doi: 10.1371/journal.pone.0175351. eCollection 2017.