一种用于生物雷达参考的生命信号同步测量系统研制
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摘要
目的:设计一种用于生物雷达参考的生命信号同步测量系统。方法:该系统由传感器前端和控制显示后端两部分组成,传感器前端通过小型化接触式的压电传感器和光敏传感器分别测量人体呼吸和脉搏(用于心跳的参考)并采用蓝牙无线方式连接控制显示后端,控制显示后端通过基于Windows消息机制的软件设计与生物雷达系统同步开始/停止保存数据。结果:与超宽带(ultra-wideband,UWB)和连续波(continuous wave,CW)2种生物雷达系统的同步测量实验表明,该系统有效解决了现阶段生物雷达参考测量系统的时间同步问题,且不需要修改软件代码来配合不同生物雷达系统开展实验。结论:该系统具有成本低、可便携、可通用的特点,不仅可为生物雷达技术的研究提供定量标准和参考,而且可为生物医学研究中生命信号的定量检测提供一种简便易行的通用方法和手段。
Objective To provide a referencing measurement system of respiration and heartbeat for the new non-contact life-detection technology of bio-radar. Methods The system consisted of a sensor front-end and a controlling & displaying back-end. The sensor front-end used a contact miniature piezo-electric sensor to measure respiration and a photoconductive sensor to measure pulse(the reference for heartbeat), respectively, which communicated with the back-end via wireless Bluetooth. The controlling & displaying back-end started/stopped saving data synchronously with bio-radar via software design based on Windows message mechanism. Results The synchronously measuring experiments of the system with two types of bio-radars, namely the UWB bio-radar and the CW bio-radar, indicated that the system effectively dealt with the time synchronization problem of the existing referencing measurement systems for bio-radar. Besides, it needed no modification of software codes to work with different types of bio-radar. Conclusion The system has features of being low-cost, potable,versatile and so on. It can not only provide quantitative standards and references for study of the bio-radar technology, but also an easy and versatile method of quantitatively measuring vital signs for studies in the biomedicine area.
Objective To provide a referencing measurement system of respiration and heartbeat for the new non-contact life-detection technology of bio-radar. Methods The system consisted of a sensor front-end and a controlling & displaying back-end. The sensor front-end used a contact miniature piezo-electric sensor to measure respiration and a photoconductive sensor to measure pulse(the reference for heartbeat), respectively, which communicated with the back-end via wireless Bluetooth. The controlling & displaying back-end started/stopped saving data synchronously with bio-radar via software design based on Windows message mechanism. Results The synchronously measuring experiments of the system with two types of bio-radars, namely the UWB bio-radar and the CW bio-radar, indicated that the system effectively dealt with the time synchronization problem of the existing referencing measurement systems for bio-radar. Besides, it needed no modification of software codes to work with different types of bio-radar. Conclusion The system has features of being low-cost, potable,versatile and so on. It can not only provide quantitative standards and references for study of the bio-radar technology, but also an easy and versatile method of quantitatively measuring vital signs for studies in the biomedicine area.
引文
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[12] LV H,QI F G,ZHANG Y,et al. Improved detection of human respiration using data fusion basedon a multistatic UWB radar[J]. Remote Sens,2016,8(9):773.
[13]胡冶,李川涛,祁富贵,等.一种非接触式呼吸暂停报警装置的研制[J].中国医疗设备,2015,30(5):18-20.
[14] LU G H,YANG F,TIAN Y,et al. Contact-free measurement of heart rate variability via a microwave sensor[J]. Sensors,2009,9(12):9 572-9 581.
[15] PATWARI N,BREWER L,TATE Q,et al. Breathfinding:a wireless network that monitors and locates breathing in a home[J]. IEEE J Sel Topics Signal Process,2013,8(1):30-42.
[16] LI C Z,XIAO Y M,LIN J S. Experiment and spectral analysis of a low-power K a-band heartbeat detector measuring from four sides of a human body radar[J]. IEEE Trans Microw Theory Tech,2006,54(12):4 464-4 471.
[17] BABOLI M,BORIC-LUBECKE O,LUBECKE V. A new algorithm for detection of heart and respiration rate with UWB signals[J]. Conf Proc IEEE Eng Med Biol Soc,2012,2012:3 947-3 950.
[2] STADERINI E M. UWB radars in medicine[J]. IEEE Aerosp Electron Syst Mag,2002,17(1):13-18.
[3] AHMAD F,AMIN M G,MANDAPATI G. Autofocusing of through-the-wall radar imagery under unknown wall characteristics[J]. IEEE Trans Image Process,2007,16(7):1 785-1 795.
[4] SUSEK W,STEC B. Through-the-wall detection of human activities using a noise radar with microwave quadrature correlator[J]. IEEE Trans Aerosp Electron Syst,2015,51(1):759-764.
[5] SCHIRES E,GEORGIOU P,LANDE T S. Vital sign monitoring through the back using an UWB impulse radar with body coupled antennas[J]. IEEE Trans Biomed Circuits Syst,2018,12(2):292-302.
[6] LV H,JIAO T,ZHANG Y,et al. An adaptive-MSSA-based algorithm for detection of trapped victims using UWB radar[J].IEEE Geosci Remote Sens Lett,2015,12(9):1 808-1 812.
[7]祁富贵,吕昊,梁福来,等.基于生物雷达的人体运动状态探测识别技术研究[J].医疗卫生装备,2016,37(5):114-121.
[8]张自启,吕昊,陈扶明,等. UWB生物雷达多静止人体目标呼吸检测中“遮蔽效应”的实验研究[J].医疗卫生装备,2017,38(4):1-5.
[9]陈扶明,孙继尧,王健琪.基于94 GHz非对称天线生物雷达系统的语音探测性能实验研究[J].医疗卫生装备,2018,39(8):11-15.
[10] ZHOU Q,LIU J H,HOST-MADSEN A,et al. Detection of multiple heartbeats using Doppler radar[C]//IEEE International Conference on Acoustics Speech and Signal Processing,May 14-19,2006,IEEE Computer Society,Toulouse,France.Washington DC:IEEE,2006:Ⅱ.
[11] SUZUK S,MATSUI T,IMUTA H. A novel autonomic activation measurement method for stress monitoring:non-contact measurement of heart rate variability using a compact microwave radar[J]. Med Biol Eng Comput,2008,46(7):709-714.
[12] LV H,QI F G,ZHANG Y,et al. Improved detection of human respiration using data fusion basedon a multistatic UWB radar[J]. Remote Sens,2016,8(9):773.
[13]胡冶,李川涛,祁富贵,等.一种非接触式呼吸暂停报警装置的研制[J].中国医疗设备,2015,30(5):18-20.
[14] LU G H,YANG F,TIAN Y,et al. Contact-free measurement of heart rate variability via a microwave sensor[J]. Sensors,2009,9(12):9 572-9 581.
[15] PATWARI N,BREWER L,TATE Q,et al. Breathfinding:a wireless network that monitors and locates breathing in a home[J]. IEEE J Sel Topics Signal Process,2013,8(1):30-42.
[16] LI C Z,XIAO Y M,LIN J S. Experiment and spectral analysis of a low-power K a-band heartbeat detector measuring from four sides of a human body radar[J]. IEEE Trans Microw Theory Tech,2006,54(12):4 464-4 471.
[17] BABOLI M,BORIC-LUBECKE O,LUBECKE V. A new algorithm for detection of heart and respiration rate with UWB signals[J]. Conf Proc IEEE Eng Med Biol Soc,2012,2012:3 947-3 950.