[1]周恒骥,杨亦含,胡元会,等.基于毫米波雷达的心房颤动检测[J].中国医学物理学杂志,2024,41(1):81-87.[doi:DOI:10.3969/j.issn.1005-202X.2024.01.012]
　ZHOU Hengji,YANG Yihan,HU Yuanhui,et al.Atrial fibrillation detection using millimeter-wave radar[J].Chinese Journal of Medical Physics,2024,41(1):81-87.[doi:DOI:10.3969/j.issn.1005-202X.2024.01.012]
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基于毫米波雷达的心房颤动检测()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第1期
页码:
81-87
栏目:
医学信号处理与医学仪器
出版日期:
2024-01-23

文章信息/Info

Title:
Atrial fibrillation detection using millimeter-wave radar
文章编号:
1005-202X（2024）01-0081-07
作者:
周恒骥1; 杨亦含2; 3; 胡元会2; 褚瑜光2; 寿鑫甜2; 3; 尤雅萍2; 薛文静2; 3; 范少玮2; 王勇1; 沈会良1
1.浙江大学工程师学院， 浙江 杭州 315000； 2.中国中医科学院广安门医院心血管科， 北京 100053； 3.北京中医药大学研究生院， 北京 100029
Author(s):
ZHOU Hengji1;  YANG Yihan2;  3;  HU Yuanhui2;  CHU Yuguang2;  SHOU Xintian2;  3;  YOU Yaping2;  XUE Wenjing2;  3;  FAN Shaowei2;  WANG Yong1;  SHEN Huiliang1
1. College of Engineers, Zhejiang University, Hangzhou 315000, China 2. Department of Cardiology, Guanganmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China 3. Graduate School of Beijing University of Chinese Medicine, Beijing 100029, China
关键词:
房颤; 毫米波雷达; 信号处理; 非接触; 实时
Keywords:
Keywords: atrial fibrillation millimeter-wave radar signal processing non-contact real-time
分类号:
R318.6
DOI:
DOI:10.3969/j.issn.1005-202X.2024.01.012
文献标志码:
A
摘要:
提出一种基于毫米波雷达的非接触式实时心房颤动检测技术。首先使用60 GHz的PCR毫米波雷达持续采集目标对象的胸部回波信号，然后通过I-Q解调生成I-Q信号，接着基于有效点相位趋势评估法提取信号相位信息并获得微动信号，再经过数字滤波提取呼吸信号和心动信号，通过特征提取获得心脏运动特征，最后基于时域房颤波特征判断房颤发生情况。本研究的创新性主要体现在：为提取更精确的信号相位信息，提出有效点相位趋势评估法；为实现实时房颤检测，提出时域房颤判别方法。实验结果表明本研究的心房颤动检测系统对临床患者的房颤检测准确率达99.2%。
Abstract:
A novel technology is proposed for non-contact and real-time detection of atrial fibrillation using millimeter-wave radar. A 60 GHz PCR millimeter wave radar is used to continuously detect the chest echo signal of the subject. After signal acquisition, I-Q signal is generated through I-Q demodulation, and the signal phase information is extracted using effective points phase trend evaluation for obtaining the signals from oscillations in the chest wall, from which the respiratory signals and cardiac signals are extracted through digital filtering for the analysis of cardiac movement. Whether the atrial fibrillation occurs or not is determined by the characteristics of atrial fibrillation wave in the time domain. The effective points phase trend evaluation for extracting more accurate signal phase information and the time-domain method for real-time atrial fibrillation detection are the innovations of the study. The experimental results show that the proposed method achieves a detection accuracy of 99.2% in clinic.

相似文献/References:

[1]陆宏伟,钟高艳,龙芋帆,等. 全数据库评估概率密度函数法利用R-R间期检测房颤精度[J].中国医学物理学杂志,2018,35(3):333.[doi:DOI:10.3969/j.issn.1005-202X.2018.03.016]
　LU Hongwei,ZHONG Gaoyan,LONG Yufan,et al. Evaluation of the precision of probability density function method using R-R intervals for detecting atrial fibrillation from the whole MIT-BIH arrhythmia database[J].Chinese Journal of Medical Physics,2018,35(1):333.[doi:DOI:10.3969/j.issn.1005-202X.2018.03.016]
[2]王凯,杨枢,李超. 一种基于ECG的多层共轭对称Hadamard特征变换的房颤异常信号分类方法[J].中国医学物理学杂志,2019,36(9):1068.[doi:DOI:10.3969/j.issn.1005-202X.2019.09.014]
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[3]蔚文婧,王寻,张鹏远,等.一种基于多层感知器的房颤心电图检测方法[J].中国医学物理学杂志,2020,37(3):332.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.015]
　WEI Wenjing,WANG Xun,ZHANG Pengyuan,et al.Multilayer perceptron-based method for atrial fibrillation ECG detection[J].Chinese Journal of Medical Physics,2020,37(1):332.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.015]

备注/Memo

备注/Memo:
【收稿日期】2023-08-15 【基金项目】中央级公益性科研院所基本科研业务费专项资金（ZZ17-XRZ-029）；首都卫生发展科研专项（首发2022-1-4153）；浙江省协同感知与自主无人系统重点实验室 【作者简介】周恒骥，硕士研究生，研究方向：毫米波雷达信号处理技术，E-mail: 1025578783@qq.com；杨亦含，硕士研究生，研究方向：中医心血管疾病防治，E-mail: Olivia1001@yeah.net（周恒骥与杨亦含为共同第一作者） 【通信作者】王勇，副教授，研究方向：雷达信号智能处理技术，E-mail: wangy@zju.edu.cn
更新日期/Last Update: 2024-01-23