• DocumentCode
    2522505
  • Title

    Contact-free measurement of heartbeat signal via a doppler radar using adaptive filtering

  • Author

    Lu, Guohua ; Yang, Fang ; Jing, Xijing ; Wang, Jianqi

  • Author_Institution
    Dept. of Electron., Fourth Mil. Med. Univ., Xian, China
  • fYear
    2010
  • fDate
    9-11 April 2010
  • Firstpage
    89
  • Lastpage
    92
  • Abstract
    It has been proven that the cardiopulmonary signs, including respiration and heartbeat signal, can be contact-free measured via a Doppler radar. However, the heartbeat signal cannot be identified when the human subject does not hold his or her breath. To resolve the problem, the adaptive noise canceller (ANC) based on recursive-least square (RLS) algorithm is presented to simultaneously measure the heartbeat and the respiration signal. Experimental results showed that not only can the heartbeat signal be well identified, but the heart rate also strongly correlated with that derived from the electrocardiogram (ECG).
  • Keywords
    Doppler radar; adaptive filters; electrocardiography; interference suppression; least squares approximations; recursive estimation; ANC; Doppler radar; ECG; RLS algorithm; adaptive filtering; adaptive noise canceller; cardiopulmonary signs; contact-free measurement; electrocardiogram; heartbeat signal; recursive-least square algorithm; respiration; Adaptive filters; Cardiology; Doppler radar; Heart beat; Humans; Noise cancellation; Noise measurement; Resonance light scattering; Signal processing; Signal resolution; Contact-free; Doppler radar; adaptive noise canceller; electrocardiogram; recursive-least square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing (IASP), 2010 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-5554-6
  • Electronic_ISBN
    978-1-4244-5556-0
  • Type

    conf

  • DOI
    10.1109/IASP.2010.5476157
  • Filename
    5476157