• DocumentCode
    149816
  • Title

    Movement-immune respiration monitoring using automatic DC-correction algorithm for CW Doppler radar system

  • Author

    Li, Yiran ; Wang, Guochao ; Gu, Changzhan ; Li, Changzhi

  • Author_Institution
    Texas Tech University, Lubbock, TX, 79409, US
  • fYear
    2014
  • fDate
    19-23 Jan. 2014
  • Firstpage
    7
  • Lastpage
    9
  • Abstract
    Doppler radar has the capability to remotely monitor human respiration. However, in real applications random body movements during measurement will cause drift of “DC” level in the experiment results. Also, the dc level will shift slowly with the temperature change of the radar circuit. Those DC drifts will cause inaccurate measurement results. To solve the dc drift issue during the experiments, an automatic DC-correction algorithm is developed. Experiment results show that this algorithm eliminates undesirable DC drifts and offset while recovering useful information of the original respiration signal. It is able to provide reliable respiration measurement even if there are large body movements that otherwise overwhelm the desired signal.
  • Keywords
    Biomedical measurement; Doppler radar; Motion segmentation; Sensors; Spectrogram; Temperature measurement; DC offset; DC shift; DC-coupled CW radar; respiration measurement; spectrogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), 2014 IEEE Topical Conference on
  • Conference_Location
    Newport Beach, CA, USA
  • Print_ISBN
    978-1-4799-2298-7
  • Type

    conf

  • DOI
    10.1109/BioWireleSS.2014.6827740
  • Filename
    6827740