基于高频线性调频连续波的生命体征测量研究

doi:10.16182/j.issn1004731x.joss.201811030

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4292-4297.doi: 10.16182/j.issn1004731x.joss.201811030

基于高频线性调频连续波的生命体征测量研究

王天润, 苏中, 刘宁

北京信息科技大学高动态导航技术北京市重点实验室,北京 100101

收稿日期:2018-05-29 修回日期:2018-06-20 发布日期:2019-01-04
作者简介:王天润(1994-),男,土家族,湖北,硕士生,研究方向为高动态导航。
基金资助:
国家自然科学基金(61471046),北京市教委市属高校创新能力提升计划(TJSHG201510772017),北京市科技计划课题(Z161100003016011)

Vital Signs Measurement Based on High-Frequency Linear Frequency-Modulated Continuous Wave

Wang Tianrun, Su Zhong, Liu Ning

University of Beijing Information Science & Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China

Received:2018-05-29 Revised:2018-06-20 Published:2019-01-04

摘要/Abstract

摘要： 针对接触式、穿戴式的生命体征测量工具本身固有的局限性和不便利性,和低频段毫米波精确度低的缺点,提出了基于高频线性调频连续波(Frequency-Modulated Continuous Wave,FMCW)的非接触式生命体征测量方法。通过对FMCW的发射波和接收波进行混频处理,得到差频信号及其中心频率,由中心频率推导出目标的距离和速度信息。通过实验,与两款手环做心率检测对比,最大误差为6.7%,最大标准差为3.55277。对于不同衣着静止目标、相同衣着移动目标、不同衣着移动目标的最大误差分别为4.5%、7.2%、7.7%。

关键词: 毫米波雷达, 非接触式, 生命体征, 线性调频连续波, 高频段

Abstract: Aiming at the inherent limitations and inconveniences of the contact and wearable vital signs measurement tools, and low accuracy of the low frequency mmWave, a non-contact vital signs measurement method based on high-frequency frequency-modulated continuous wave (FMCW) is put forward. By mixing the FMCW’s transmitting and receiving waves, the difference frequency signals and its center frequency are obtained. The distance and speed information of the target is derived from the center frequency. By comparing the heart rate test with two hand rings, it is found that the maximum error is 6.7% and the maximum standard deviation is 3.55277. The maximum errors of the static target with different clothing, the moving target with the same clothing and the moving target with different clothing were 4.5%, 7.2% and 7.7%, respectively.

Key words: mmWave radar, non-contact, vital signs, FMCW, high-frequency

中图分类号:

TN957.51

王天润, 苏中, 刘宁. 基于高频线性调频连续波的生命体征测量研究[J]. 系统仿真学报, 2018, 30(11): 4292-4297.

Wang Tianrun, Su Zhong, Liu Ning. Vital Signs Measurement Based on High-Frequency Linear Frequency-Modulated Continuous Wave[J]. Journal of System Simulation, 2018, 30(11): 4292-4297.

参考文献

[1] 杨冬. 基于非接触生命参数检测系统的信号处理技术研究[D]. 西安: 第四军医大学, 2005.
Yang Dong.The Research on the Technology of Signal Processing Based on the System of Non-contact Life-parameter Detection[D]. Xi’an: Fourth Military Medical University, 2005.
[2] 胡巍. 基于多普勒雷达的非接触式生命体征检测技术研究[D]. 合肥: 中国科学技术大学, 2014.
HU Wei.Research on Non-contact Vital Signs Detection Technology based on Doppler Radar[D]. Hefei: University of Science & Technology China, 2014.
[3] 朱文涛, 苏涛, 杨涛, 等. 线性调频连续波信号检测与参数估计算法[J]. 电子与信息学报, 2014, 36(3): 552-558.
Zhu Wentao, Su Tao, Yang Tao, et al.Detection and Parameter Estimation of Linearfrequency Modulation Continuous Wave Signal[J]. Journal of electronics & information technology, 2014, 36(3): 552-558.
[4] 王健琪, 董秀珍, 王海滨, 等. 基于毫米波的呼吸、心率非接触检测实验[J]. 第四军医大学学报, 2001, 22(2): 180-182.
Wang Jianqi, Dong Xiuzhen, Wang Haibin, et al.Experimental study on non-contact detection of breathing and heartbeat based on millimeter wave[J]. Journal Fourth Military Medical University, 2001, 22(2): 180-182.
[5] 李南. 线性调频连续波雷达信号处理研究[D]. 西安: 西安电子科技大学, 2012.
Li Nan. research on linearfrequency modulation continuous wave radar signal processing[D]. Xi’an: Xidian University, 2012.
[6] 陈泉. 非接触式生命信号特征提取方法研究[D]. 南京:南京理工大学, 2017.
Chen Quan.Research on Non-contact Life-parameter Detection Method[D]. Nanjing: Nanjing University of Science & Technology, 2017.
[7] 夏映湖. 基于谱估计的非接触式生命体征检测算法研究[D]. 南京: 南京理工大学, 2016.
Xia Yinghu.Research on Non-contact Life-parameter Detection Method Based on Spectrum Estimation[D]. Nanjing: Nanjing University of Science & Technology. 2016.

基于高频线性调频连续波的生命体征测量研究

Vital Signs Measurement Based on High-Frequency Linear Frequency-Modulated Continuous Wave

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	康来, 魏迎梅, 蒋杰, 谢毓湘. 融合视惯传感数据的非接触式物体尺寸获取方法[J]. 系统仿真学报, 2020, 32(5): 892-900.
[2]	江莉, 周军妮, 杨润玲, 刘利. 利用改进SM的LFMCW信号参数估计算法[J]. 系统仿真学报, 2018, 30(9): 3283-3287.