• 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

利用毫米波调频连续波雷达远程估计血压。

Remote Estimation of Blood Pressure Using Millimeter-Wave Frequency-Modulated Continuous-Wave Radar.

机构信息

Department of Electrical and Computer Engineering, California State University, Fresno, CA 93740, USA.

Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea.

出版信息

Sensors (Basel). 2023 Jul 19;23(14):6517. doi: 10.3390/s23146517.

DOI:10.3390/s23146517
PMID:37514810
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10383350/
Abstract

This paper proposes to remotely estimate a human subject's blood pressure using a millimeter-wave radar system. High blood pressure is a critical health threat that can lead to diseases including heart attacks, strokes, kidney disease, and vision loss. The commonest method of measuring blood pressure is based on a cuff that is contact-based, non-continuous, and cumbersome to wear. Continuous remote monitoring of blood pressure can facilitate early detection and treatment of heart disease. This paper investigates the possibility of using millimeter-wave frequency-modulated continuous-wave radar to measure the heart blood pressure by means of pulse wave velocity (PWV). PWV is known to be highly correlated with blood pressure, which can be measured by pulse transit time. We measured PWV using a two-millimeter wave radar focused on the subject's chest and wrist. The measured time delay provided the PWV given the length from the chest to the wrist. In addition, we analyzed the measured radar signal from the wrist because the shape of the pulse wave purveyed information on blood pressure. We investigated the area under the curve (AUC) as a feature and found that AUC is strongly correlated with blood pressure. In the experiment, five human subjects were measured 50 times each after performing different activities intended to influence blood pressure. We used artificial neural networks to estimate systolic blood pressure (SBP) and diastolic blood pressure (SBP) with both PWV and AUC as inputs. The resulting root mean square errors of estimated blood pressure were 3.33 mmHg for SBP and 3.14 mmHg for DBP.

摘要

本文提出了一种使用毫米波雷达系统远程估计人体血压的方法。高血压是一种严重的健康威胁,可导致心脏病、中风、肾病和视力丧失等疾病。测量血压最常见的方法是基于袖带,这种方法是接触式的、不连续的,佩戴起来很麻烦。连续远程监测血压可以促进心脏病的早期发现和治疗。本文研究了使用毫米波频率调制连续波雷达通过脉搏波速度 (PWV) 来测量心脏血压的可能性。脉搏波速度与血压高度相关,而脉搏波传导时间可以测量血压。我们使用两毫米雷达波聚焦在对象的胸部和手腕处来测量 PWV。测量得到的时间延迟提供了从胸部到手腕的 PWV。此外,我们还分析了从手腕测量到的雷达信号,因为脉搏波的形状提供了有关血压的信息。我们研究了曲线下面积 (AUC) 作为特征,并发现 AUC 与血压高度相关。在实验中,五名志愿者在进行了不同旨在影响血压的活动后,每人被测量了 50 次。我们使用人工神经网络,以 PWV 和 AUC 作为输入,来估计收缩压 (SBP) 和舒张压 (DBP)。估计血压的均方根误差分别为 SBP 为 3.33mmHg,DBP 为 3.14mmHg。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/573c3fbfdad2/sensors-23-06517-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/4a2f2564da48/sensors-23-06517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/8d962d997eb6/sensors-23-06517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/9bd70546d777/sensors-23-06517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/149dddfffa4c/sensors-23-06517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/e0e06b6f98c1/sensors-23-06517-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/884fabeb2d9f/sensors-23-06517-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/601e8da6a6b2/sensors-23-06517-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/5aafc1d35f47/sensors-23-06517-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/adb66927977f/sensors-23-06517-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/4350aef91f89/sensors-23-06517-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/2bd174ba788b/sensors-23-06517-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/573c3fbfdad2/sensors-23-06517-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/4a2f2564da48/sensors-23-06517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/8d962d997eb6/sensors-23-06517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/9bd70546d777/sensors-23-06517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/149dddfffa4c/sensors-23-06517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/e0e06b6f98c1/sensors-23-06517-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/884fabeb2d9f/sensors-23-06517-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/601e8da6a6b2/sensors-23-06517-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/5aafc1d35f47/sensors-23-06517-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/adb66927977f/sensors-23-06517-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/4350aef91f89/sensors-23-06517-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/2bd174ba788b/sensors-23-06517-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aac0/10383350/573c3fbfdad2/sensors-23-06517-g012a.jpg

相似文献

1
Remote Estimation of Blood Pressure Using Millimeter-Wave Frequency-Modulated Continuous-Wave Radar.利用毫米波调频连续波雷达远程估计血压。
Sensors (Basel). 2023 Jul 19;23(14):6517. doi: 10.3390/s23146517.
2
TRCCBP: Transformer Network for Radar-Based Contactless Continuous Blood Pressure Monitoring.TRCCBP:基于雷达的非接触式连续血压监测的Transformer 网络。
Sensors (Basel). 2023 Dec 7;23(24):9680. doi: 10.3390/s23249680.
3
[Non-contact Blood Pressure Measurement Method Using Frequency Modulated Continuous Wave Radar].[基于调频连续波雷达的非接触式血压测量方法]
Zhongguo Yi Liao Qi Xie Za Zhi. 2022 Sep 30;46(5):481-484. doi: 10.3969/j.issn.1671-7104.2022.05.002.
4
Blood Pressure Estimation Using Pulse Transit Time From Bioimpedance and Continuous Wave Radar.利用生物阻抗和连续波雷达的脉搏传输时间估计血压
IEEE Trans Biomed Eng. 2017 Apr;64(4):917-927. doi: 10.1109/TBME.2016.2582472. Epub 2016 Jun 20.
5
A novel method for non-invasive blood pressure estimation based on continuous pulse transit time: An observational study.一种基于连续脉搏波传导时间的无创血压估计新方法:一项观察性研究。
Psychophysiology. 2023 Feb;60(2):e14173. doi: 10.1111/psyp.14173. Epub 2022 Sep 8.
6
Improved Blood Pressure Prediction Using Systolic Flow Correction of Pulse Wave Velocity.使用脉搏波速度的收缩期血流校正改进血压预测。
Cardiovasc Eng Technol. 2016 Dec;7(4):439-447. doi: 10.1007/s13239-016-0281-y. Epub 2016 Oct 11.
7
Non-Invasive, Continuous, Pulse Pressure Monitoring Method.非侵入性、连续脉压监测方法
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:6574-6577. doi: 10.1109/EMBC.2019.8857439.
8
Pulse Arrival Time Segmentation Into Cardiac and Vascular Intervals - Implications for Pulse Wave Velocity and Blood Pressure Estimation.脉搏到达时间分段为心脏和血管间隔 - 对脉搏波速度和血压估计的影响。
IEEE Trans Biomed Eng. 2021 Sep;68(9):2810-2820. doi: 10.1109/TBME.2021.3055154. Epub 2021 Aug 19.
9
Cuff-less and continuous blood pressure measurement based on pulse transit time from carotid and toe photoplethysmograms.基于颈动和趾动脉搏波的脉搏波传导时间的无袖带连续血压测量。
J Med Eng Technol. 2022 Oct;46(7):567-589. doi: 10.1080/03091902.2022.2077998. Epub 2022 Jul 8.
10
Characters available in photoplethysmogram for blood pressure estimation: beyond the pulse transit time.用于血压估计的光电容积脉搏波图中的可用特征:超越脉搏传输时间。
Australas Phys Eng Sci Med. 2014 Jun;37(2):367-76. doi: 10.1007/s13246-014-0269-6. Epub 2014 Apr 11.

引用本文的文献

1
A Comprehensive Survey of Research Trends in mmWave Technologies for Medical Applications.毫米波技术在医学应用中的研究趋势综合调查
Sensors (Basel). 2025 Jun 13;25(12):3706. doi: 10.3390/s25123706.
2
Non-Contact Blood Pressure Monitoring Using Radar Signals: A Dual-Stage Deep Learning Network.基于雷达信号的非接触式血压监测:一种双阶段深度学习网络
Bioengineering (Basel). 2025 Mar 2;12(3):252. doi: 10.3390/bioengineering12030252.

本文引用的文献

1
Measurement of pulse transit time using ultra-wideband radar.使用超宽带雷达测量脉搏传播时间。
Technol Health Care. 2021;29(5):859-868. doi: 10.3233/THC-202626.
2
Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar.基于 77GHz 毫米波 FMCW 雷达的人体生命体征远程监测
Sensors (Basel). 2020 May 25;20(10):2999. doi: 10.3390/s20102999.
3
Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring.用于血压监测的无袖带单部位光电容积脉搏波描记法
J Clin Med. 2020 Mar 7;9(3):723. doi: 10.3390/jcm9030723.
4
Noncontact Blood Pressure Monitoring Technology using Facial Photoplethysmograms.使用面部光电容积脉搏波图的非接触式血压监测技术
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:2411-2415. doi: 10.1109/EMBC.2019.8856439.
5
Blood Pressure Estimation Using On-body Continuous Wave Radar and Photoplethysmogram in Various Posture and Exercise Conditions.基于体域网连续波雷达和光电容积脉搏波的不同体位和运动状态下血压估计。
Sci Rep. 2019 Nov 8;9(1):16346. doi: 10.1038/s41598-019-52710-8.
6
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network.基于光谱-时频深度神经网络的光电容积脉搏波血压估计。
Sensors (Basel). 2019 Aug 4;19(15):3420. doi: 10.3390/s19153420.
7
A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram.一种用于使用光电容积脉搏波图估计血压的新型可穿戴设备。
Sensors (Basel). 2019 Jun 4;19(11):2557. doi: 10.3390/s19112557.
8
Relation between blood pressure and pulse wave velocity for human arteries.人体动脉血压与脉搏波速度的关系。
Proc Natl Acad Sci U S A. 2018 Oct 30;115(44):11144-11149. doi: 10.1073/pnas.1814392115. Epub 2018 Oct 15.
9
Cuff-Free Blood Pressure Estimation Using Pulse Transit Time and Heart Rate.基于脉搏波传导时间和心率的无袖带血压估计
Int Conf Signal Process Proc. 2014 Oct;2014:115-118. doi: 10.1109/ICOSP.2014.7014980.
10
Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.通过脉搏传输时间实现无处不在的血压监测:理论与实践
IEEE Trans Biomed Eng. 2015 Aug;62(8):1879-901. doi: 10.1109/TBME.2015.2441951. Epub 2015 Jun 5.