• 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

使用毫米波阵列雷达进行非接触式稳定动脉脉搏测量。

Non-Contact Stable Arterial Pulse Measurement Using mmWave Array Radar.

作者信息

Geng Fanglin, Bai Zhongrui, Zhang Hao, Liu Changyu, Wang Peng, Li Zhenfeng, Du Lidong, Chen Xianxiang, Fang Zhen

机构信息

Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100094, China.

School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China.

出版信息

Bioengineering (Basel). 2024 Nov 28;11(12):1203. doi: 10.3390/bioengineering11121203.

DOI:10.3390/bioengineering11121203
PMID:39768021
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11673018/
Abstract

Pulse signals can serve as important indicators of one's cardiovascular condition. However, capturing signals with stable morphology using radar under varying measurement periods remains a significant challenge. This paper reports a non-contact arterial pulse measurement method based on mmWave radar, with stable signals achieved through a range-angle focusing algorithm. A total of six subjects participated in the experiment, and the results showed that, under different measurement times, the pulse morphology of the same body part for each subject had good consistency, reaching a correlation of over 0.84, and four selected pulse signs remained stable. This is a quantitative assessment revealing a high correlation in pulse morphology measured by radar over different periods. In addition, the influence of array size and measurement distance was analyzed, providing a reference of array selection for research work with different requirements. This work offers an effective reference framework for long-term pulse measurement using radar technology.

摘要

脉搏信号可作为一个人心血管状况的重要指标。然而，在不同测量时间段内使用雷达捕获形态稳定的信号仍然是一项重大挑战。本文报道了一种基于毫米波雷达的非接触式动脉脉搏测量方法，通过距离 - 角度聚焦算法实现了稳定的信号。共有六名受试者参与了实验，结果表明，在不同测量时间下，每个受试者同一身体部位的脉搏形态具有良好的一致性，相关性超过0.84，且四个选定的脉搏特征保持稳定。这是一项定量评估，揭示了雷达在不同时间段测量的脉搏形态具有高度相关性。此外，分析了阵列大小和测量距离的影响，为不同需求的研究工作提供了阵列选择参考。这项工作为利用雷达技术进行长期脉搏测量提供了一个有效的参考框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/13bcad55173e/bioengineering-11-01203-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/8d4d43223f5b/bioengineering-11-01203-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/c53c14cf34b0/bioengineering-11-01203-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/9e525e5ba491/bioengineering-11-01203-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/18e35a623085/bioengineering-11-01203-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/e35406dd30c0/bioengineering-11-01203-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/01d88279ec01/bioengineering-11-01203-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/568714f99de0/bioengineering-11-01203-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/06023248ff4e/bioengineering-11-01203-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/9d9f9df983c1/bioengineering-11-01203-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/5cf5ceabcace/bioengineering-11-01203-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/e4d8d734388a/bioengineering-11-01203-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/968c0d7a3fc1/bioengineering-11-01203-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/9131b8bb8af5/bioengineering-11-01203-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/add38a86a50b/bioengineering-11-01203-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/d68545da54ab/bioengineering-11-01203-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/cfcd82bec218/bioengineering-11-01203-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/a1b1aa7a23f0/bioengineering-11-01203-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/13bcad55173e/bioengineering-11-01203-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/8d4d43223f5b/bioengineering-11-01203-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/c53c14cf34b0/bioengineering-11-01203-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/9e525e5ba491/bioengineering-11-01203-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/18e35a623085/bioengineering-11-01203-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/e35406dd30c0/bioengineering-11-01203-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/01d88279ec01/bioengineering-11-01203-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/568714f99de0/bioengineering-11-01203-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/06023248ff4e/bioengineering-11-01203-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/9d9f9df983c1/bioengineering-11-01203-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/5cf5ceabcace/bioengineering-11-01203-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/e4d8d734388a/bioengineering-11-01203-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/968c0d7a3fc1/bioengineering-11-01203-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/9131b8bb8af5/bioengineering-11-01203-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/add38a86a50b/bioengineering-11-01203-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/d68545da54ab/bioengineering-11-01203-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/cfcd82bec218/bioengineering-11-01203-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/a1b1aa7a23f0/bioengineering-11-01203-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dda/11673018/13bcad55173e/bioengineering-11-01203-g018.jpg

相似文献

1
Non-Contact Stable Arterial Pulse Measurement Using mmWave Array Radar.使用毫米波阵列雷达进行非接触式稳定动脉脉搏测量。
Bioengineering (Basel). 2024 Nov 28;11(12):1203. doi: 10.3390/bioengineering11121203.
2
Wearable Millimeter-Wave Device for Contactless Measurement of Arterial Pulses.可穿戴式毫米波设备，用于非接触式动脉脉搏测量。
IEEE Trans Biomed Circuits Syst. 2019 Dec;13(6):1525-1534. doi: 10.1109/TBCAS.2019.2948581. Epub 2019 Oct 21.
3
The Role of Millimeter-Waves in the Distance Measurement Accuracy of an FMCW Radar Sensor.毫米波在 FMCW 雷达传感器距离测量精度中的作用。
Sensors (Basel). 2019 Sep 12;19(18):3938. doi: 10.3390/s19183938.
4
Multi-Objective Association Detection of Farmland Obstacles Based on Information Fusion of Millimeter Wave Radar and Camera.基于毫米波雷达和相机信息融合的农田障碍物多目标关联检测。
Sensors (Basel). 2022 Dec 26;23(1):230. doi: 10.3390/s23010230.
5
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.
6
Millimeter wave-based patient setup verification and motion tracking during radiotherapy.基于毫米波的放射治疗中患者摆位验证和运动跟踪。
Med Phys. 2024 Apr;51(4):2967-2974. doi: 10.1002/mp.17019. Epub 2024 Mar 8.
7
Estimation of Arterial Pulse Wave Velocity from Doppler Radar Measurements: a Feasibility Study.基于多普勒雷达测量的动脉脉搏波速度估计：一项可行性研究。
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5460-5464. doi: 10.1109/EMBC.2019.8857644.
8
A high precision vital signs detection method based on millimeter wave radar.基于毫米波雷达的高精度生命体征检测方法。
Sci Rep. 2024 Oct 26;14(1):25535. doi: 10.1038/s41598-024-77683-1.
9
Non-contact respiratory measurement in a horse in standing position using millimeter-wave array radar.使用毫米波阵列雷达测量站立马匹的非接触式呼吸。
J Vet Med Sci. 2022 Sep 21;84(10):1340-1344. doi: 10.1292/jvms.22-0238. Epub 2022 Aug 9.
10
A Low-Power High-Accuracy Urban Waterlogging Depth Sensor Based on Millimeter-Wave FMCW Radar.一种基于毫米波调频连续波雷达的低功耗高精度城市内涝深度传感器。
Sensors (Basel). 2022 Feb 6;22(3):1236. doi: 10.3390/s22031236.

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.

本文引用的文献

1
A Review on Recent Advancements of Biomedical Radar for Clinical Applications.生物医学雷达在临床应用中的最新进展综述
IEEE Open J Eng Med Biol. 2024 May 15;5:707-724. doi: 10.1109/OJEMB.2024.3401105. eCollection 2024.
2
Noncontact Infant Apnea Detection for Hypoxia Prevention With a K-Band Biomedical Radar.利用 K 波段生物医学雷达进行非接触式婴儿窒息检测以预防缺氧。
IEEE Trans Biomed Eng. 2024 Mar;71(3):1022-1032. doi: 10.1109/TBME.2023.3325468. Epub 2024 Feb 26.
3
A Novel Non-Contact Detection and Identification Method for the Post-Disaster Compression State of Injured Individuals Using UWB Bio-Radar.
一种基于超宽带生物雷达的灾后受伤个体受压状态新型非接触式检测与识别方法
Bioengineering (Basel). 2023 Jul 30;10(8):905. doi: 10.3390/bioengineering10080905.
4
Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit.基于雷达的非接触式早产儿呼吸监测在新生儿重症监护病房中的应用。
Sci Rep. 2022 Mar 25;12(1):5150. doi: 10.1038/s41598-022-08836-3.
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
Wearable Millimeter-Wave Device for Contactless Measurement of Arterial Pulses.可穿戴式毫米波设备，用于非接触式动脉脉搏测量。
IEEE Trans Biomed Circuits Syst. 2019 Dec;13(6):1525-1534. doi: 10.1109/TBCAS.2019.2948581. Epub 2019 Oct 21.
7
Noninvasive Cuffless Blood Pressure Estimation Using Pulse Transit Time and Impedance Plethysmography.基于脉搏传输时间和容积描记法的无袖带无创血压估计
IEEE Trans Biomed Eng. 2019 Apr;66(4):967-976. doi: 10.1109/TBME.2018.2865751. Epub 2018 Aug 17.
8
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.
9
BioWatch: A Noninvasive Wrist-Based Blood Pressure Monitor That Incorporates Training Techniques for Posture and Subject Variability.生物手表：一种基于手腕的无创血压监测器，它融合了针对姿势和个体差异的训练技术。
IEEE J Biomed Health Inform. 2016 Sep;20(5):1291-300. doi: 10.1109/JBHI.2015.2458779. Epub 2015 Jul 20.
10
Wearable cuff-less PTT-based system for overnight blood pressure monitoring.用于夜间血压监测的基于脉搏波传导时间的无袖带可穿戴系统。
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:6103-6. doi: 10.1109/EMBC.2013.6610945.