期刊文献+

不同呼吸模式对雷达信号分离影响实验研究

Experimental study on effects of different breathing modes on separation of bioradar signals
在线阅读 下载PDF
导出
摘要 目的:研究生物雷达监护过程中,不同呼吸模式对雷达信号分离提取的影响。方法 :在不同呼吸模式下,获取雷达式生命参数监护系统的回波信号,应用改进的信号分离算法,分离出呼吸和心跳信号,并提取对应信号的参数特征。结果:2种呼吸模式下,自适应滤波器输出的信号中心频率与心跳信号频率一致,且其余频点信号得到有效抑制。结论:该算法可以有效地分离出心跳信号,同时有效抑制其他干扰信号。 Objective To separate the biological radar echo signals in different breathing modes. Methods Echo signals of bioradar-based vital signs monitoring system were acquired in different breathing modes, and an improved signal separa-tion algorithm was used to obtain respiratory and heartbeat signals as well as their parameters.Results Under two breath-ing modes, the center frequencies of the signals from the self-adaptive filter were kept consistent with those of heartbeat signals, and the signals with other frequencies were suppressed effectively. Conclusion The algorithm can be used to sep-arate heartbeat signals while suppress other interference signals effectively. ZHANG Jing and LIU Qian are the first au-thors who contributed equally to the article.
出处 《医疗卫生装备》 CAS 2015年第9期38-40,共3页 Chinese Medical Equipment Journal
基金 国家自然科学基金面上项目(61271102)
关键词 呼吸模式 生物雷达 自适应滤波 信号分离 breathing mode bioradar self-adaptive filtering signal separation
  • 相关文献

参考文献9

  • 1胡巍,王云峰,赵章琰,张海英.连续波生物雷达体征检测装置与实验研究[J].中国医疗器械杂志,2014,38(2):102-106. 被引量:7
  • 2Brink M,Muller C H,Schierz C.Contact-free measurement of heart rate,respiration rate,and body movements during sleep[J].Behav Res Methods,2006,38(3):511-521.
  • 3Corbishley P,Rodriguez-Villegas E.Breathing detection:towards a miniaturized,wearable,battery-operated monitoring system[J].IEEE Trans Biomed Eng,2008,55(1):196-204.
  • 4Immoreev I,Tao T H.UWB radar for patient monitoring[J].IEEE Areosp Electron Syst Mag,2008,27(8):11-18.
  • 5XIAO Y M,LIN J S.A ka-band low power doppler radar system for remote detection of cardiopulmonary motion[J].Conf Proc IEEE Eng Med Biol Soc,2005,7:7 151-7 154.
  • 6Morgan D R,Zierdt M G.Novel signal processing techniques for Doppler radar[J].IEEE Signal Process,2009,89:45-66.
  • 7杨冬,王健琪,荆西京,焦腾,路国华,叶勇.雷达式非接触生命参数检测系统中心跳信号提取方法研究[J].医疗卫生装备,2005,26(8):20-21. 被引量:6
  • 8何振亚.自适应信号处理[M].北京:电子工业出版社,2006:60-62.
  • 9DINIZ PSR.自适应滤波算法与实现[M].刘郁林,景晓军,谭刚兵,等,译.2版.北京:电子工业出版社,2004.

二级参考文献17

  • 1Chen KM, Huang Y. Microwave life-detection systems for searching human subjects under earthquake rubble and behind barrier [J]. IEEE Trans Biomed Eng, 2000, 47 (1): 105-114.
  • 2Li C, Lin J. Recent advances in Doppler radar sensors for pervasive healthcare monitoring[C]. Proc 22nd Asia-Pacific Microw Cont: 2010, 283-290.
  • 3Droitcour AD, Boric-Lubecke O, Lubecke VM, et al. Range correlation and I/Q performance benefits in single-chip silicon Doppler radars for noncontact cardiopulmonary monitoring[J]. IEEE Trans Microw Theory Tech, 2004, 52 (3): 838-848.
  • 4Li C, Xiao Y, Lin J. Experiment and spectral analysis of a low- power Ka-band heartbeat detector.measuring from four sides of a human body[J]. IEEE Trans Microw Theory Tech, 2006, 54 (12): 4465-4471.
  • 5. Li C, Xiao Y, Lin J. Design guidelines for radio frequency non- contact vital sign detection [C]. Conf Proc IEEE Eng Med Biol Soc, 2007, 1651-1654.
  • 6Massagram W, Lubecke VM, Host-Madsen A, et al. Assessment of heart rate variability and respiratory sinus arrhythmia via Doppler radar[J]. IEEE Trans Microwave Theory Tech, 2009, 57( 10): 2542-2549.
  • 7Droitcour AD, Boric-Lubecke O, Lubecke VM, et al. 0.25 : 111 CMOS and BiCMOS single chip direct conversion Doppler radars for remote sensing of vital signs[C]. IEEE ISSCC, 2002, 348-349.
  • 8Li C, Xiao Y, Lin J. A 5 GHz double-sideband radar sensor chip in 0.18- : m CMOS for non-contact vital sign detection[J]. IEEE Microw Wireless Compon Lett, 2008, 18(7): 494-496.
  • 9Li C, Yu X, Li D, et al. Software configurable 5.8 GHz radar sensor receiver chip in 0.13 jam CMOS for non-contact vital sign detection[J]. IEEE RFIC Syrup, 2009, 97-100.
  • 10Rahman MS, Jang B J, Kim KD. A new digital signal processor t'or Doppler radar cardiopulmonary monitoring system[C]. Int Conf Electric Comput Eng, 2008, 76-79.

共引文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部