• 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

阻抗带:用于生理传感概念验证的人体耦合生物阻抗贴片

ImpediBands: Body Coupled Bio-Impedance Patches for Physiological Sensing Proof of Concept.

作者信息

Sel Kaan, Ibrahim Bassem, Jafari Roozbeh

出版信息

IEEE Trans Biomed Circuits Syst. 2020 Aug;14(4):757-774. doi: 10.1109/TBCAS.2020.2995810. Epub 2020 May 19.

DOI:10.1109/TBCAS.2020.2995810
PMID:32746337
Abstract

Continuous and robust monitoring of physiological signals is essential in improving the diagnosis and management of cardiovascular and respiratory diseases. The state-of-the-art systems for monitoring vital signs such as heart rate, heart rate variability, respiration rate, and other hemodynamic and respiratory parameters use often bulky and obtrusive systems or depend on wearables with limited sensing methods based on repetitive properties of the signals rather than the morphology. Moreover, multiple devices and modalities are typically needed for capturing various vital signs simultaneously. In this paper, we introduce ImpediBands: small-sized distributed smart bio-impedance (Bio-Z) patches, where the communication between the patches is established through the human body, eliminating the need for electrical wires that would create a common potential point between sensors. We use ImpediBands to collect instantaneous measurements from multiple locations over the chest at the same time. We propose a blind source separation (BSS) technique based on the second-order blind identification (SOBI) followed by signal reconstruction to extract heart and lung activities from the Bio-Z signals. Using the separated source signals, we demonstrate the performance of our system via providing strong confidence in the estimation of heart and respiration rates with low RMSE (HR = 0.579 beats per minute, RR = 0.285 breaths per minute), and high correlation coefficients (r = 0.948, r = 0.921).

摘要

持续且可靠地监测生理信号对于改善心血管和呼吸系统疾病的诊断与管理至关重要。用于监测诸如心率、心率变异性、呼吸频率以及其他血流动力学和呼吸参数等生命体征的现有系统,通常使用体积庞大且引人注目的设备,或者依赖于基于信号重复特性而非形态学的有限传感方法的可穿戴设备。此外,通常需要多个设备和模式才能同时捕捉各种生命体征。在本文中,我们介绍了ImpediBands:小型分布式智能生物阻抗(Bio-Z)贴片,贴片之间通过人体建立通信,无需电线,因为电线会在传感器之间形成公共电位点。我们使用ImpediBands同时从胸部的多个位置收集即时测量数据。我们提出一种基于二阶盲辨识(SOBI)的盲源分离(BSS)技术,随后进行信号重建,以从Bio-Z信号中提取心脏和肺部活动。利用分离出的源信号,我们通过对心率和呼吸率估计的低均方根误差(HR = 每分钟0.579次心跳,RR = 每分钟0.285次呼吸)和高相关系数(r = 0.948,r = 0.921)展示了我们系统的性能。

相似文献

1
ImpediBands: Body Coupled Bio-Impedance Patches for Physiological Sensing Proof of Concept.阻抗带:用于生理传感概念验证的人体耦合生物阻抗贴片
IEEE Trans Biomed Circuits Syst. 2020 Aug;14(4):757-774. doi: 10.1109/TBCAS.2020.2995810. Epub 2020 May 19.
2
Measurement of Chest Physiological Signals using Wirelessly Coupled Bio-Impedance Patches.使用无线耦合生物阻抗贴片测量胸部生理信号。
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:376-381. doi: 10.1109/EMBC.2019.8857433.
3
Vital Sign Monitoring Through the Back Using an UWB Impulse Radar With Body Coupled Antennas.使用带体耦合天线的超宽带脉冲雷达进行背部生命体征监测。
IEEE Trans Biomed Circuits Syst. 2018 Apr;12(2):292-302. doi: 10.1109/TBCAS.2018.2799322.
4
A Guide to Measuring Heart and Respiratory Rates Based on Off-the-Shelf Photoplethysmographic Hardware and Open-Source Software.基于市售光电容积脉搏波硬件和开源软件的心率和呼吸率测量指南。
Sensors (Basel). 2024 Jun 10;24(12):3766. doi: 10.3390/s24123766.
5
Long-term vital sign measurement using a non-contact vital sign sensor inside an office cubicle setting.在办公隔间环境中使用非接触式生命体征传感器进行长期生命体征测量。
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:4845-4848. doi: 10.1109/EMBC.2016.7591812.
6
Comparison of 7 Different Sensors for Detecting Low Respiratory Rates Using a Single Breath Detection Algorithm in Nonintubated, Sedated Volunteers.比较使用单呼吸检测算法在非插管、镇静志愿者中检测低呼吸率的 7 种不同传感器。
Anesth Analg. 2019 Aug;129(2):399-408. doi: 10.1213/ANE.0000000000003793.
7
Non-contact, synchronous dynamic measurement of respiratory rate and heart rate based on dual sensitive regions.基于双敏感区域的呼吸率和心率非接触式同步动态测量
Biomed Eng Online. 2017 Jan 17;16(1):17. doi: 10.1186/s12938-016-0300-0.
8
Monitoring respiratory rates with a wearable system using a stretchable strain sensor during moderate exercise.使用可拉伸应变传感器的可穿戴系统在中等强度运动期间监测呼吸频率。
Med Biol Eng Comput. 2019 Dec;57(12):2741-2756. doi: 10.1007/s11517-019-02062-2. Epub 2019 Nov 17.
9
A 769 μW Battery-Powered Single-Chip SoC With BLE for Multi-Modal Vital Sign Monitoring Health Patches.一款用于多模式生命体征监测健康贴片的、具有 BLE 的 769 μW 电池供电单芯片系统。
IEEE Trans Biomed Circuits Syst. 2019 Dec;13(6):1506-1517. doi: 10.1109/TBCAS.2019.2945114. Epub 2019 Oct 2.
10
[Research on Detection Method with Wearable Respiration Device Based on the Theory of Bio-impedance].基于生物阻抗理论的可穿戴呼吸装置检测方法研究
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Dec;33(6):1103-9.

引用本文的文献

1
Wearable Devices Based on Bioimpedance Test in Heart-Failure: Design Issues.基于生物阻抗测试的心力衰竭可穿戴设备:设计问题
Rev Cardiovasc Med. 2024 Sep 9;25(9):320. doi: 10.31083/j.rcm2509320. eCollection 2024 Sep.
2
On the development of low power wearable devices for assessment of physiological vital parameters: a systematic review.用于评估生理生命体征参数的低功耗可穿戴设备的发展:一项系统综述
Z Gesundh Wiss. 2023 Apr 3:1-16. doi: 10.1007/s10389-023-01893-6.
3
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation.
用于对生理时间序列进行建模以实现无袖带血压估计的物理信息神经网络。
NPJ Digit Med. 2023 Jun 9;6(1):110. doi: 10.1038/s41746-023-00853-4.
4
Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device.使用可穿戴式环形生物阻抗设备进行连续无袖带血压监测。
NPJ Digit Med. 2023 Mar 30;6(1):59. doi: 10.1038/s41746-023-00796-w.
5
Physics-Informed Neural Networks for Modeling Physiological Time Series: A Case Study with Continuous Blood Pressure.用于生理时间序列建模的物理信息神经网络:以连续血压为例的研究
Res Sq. 2023 Jan 16:rs.3.rs-2423200. doi: 10.21203/rs.3.rs-2423200/v1.
6
Feasibility Analysis and Implementation of Head-Mounted Electrical Impedance Respiratory Monitoring.头戴式电阻抗呼吸监测的可行性分析与实现。
Biosensors (Basel). 2022 Oct 27;12(11):934. doi: 10.3390/bios12110934.
7
Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance.使用生物阻抗从人体不同部位进行无创心脏和呼吸活动评估。
IEEE Open J Eng Med Biol. 2021;2:210-217. doi: 10.1109/ojemb.2021.3085482. Epub 2021 Jun 1.
8
Fabrication, characterization and applications of graphene electronic tattoos.石墨烯电子纹身的制作、表征及应用。
Nat Protoc. 2021 May;16(5):2395-2417. doi: 10.1038/s41596-020-00489-8. Epub 2021 Apr 12.
9
Pulse Wave Modeling Using Bio-Impedance Simulation Platform Based on a 3D Time-Varying Circuit Model.基于三维时变电路模型的生物阻抗仿真平台的脉搏波建模。
IEEE Trans Biomed Circuits Syst. 2021 Feb;15(1):143-158. doi: 10.1109/TBCAS.2021.3059211. Epub 2021 Mar 30.
10
Wearable Sensors Incorporating Compensatory Reserve Measurement for Advancing Physiological Monitoring in Critically Injured Trauma Patients.可穿戴传感器结合代偿储备测量,用于推进创伤危重症患者的生理监测。
Sensors (Basel). 2020 Nov 10;20(22):6413. doi: 10.3390/s20226413.