• DocumentCode
    1443984
  • Title

    Remote Sensing of Heart Rate and Patterns of Respiration on a Stationary Subject Using 94-GHz Millimeter-Wave Interferometry

  • Author

    Mikhelson, Ilya V. ; Bakhtiari, Sasan ; Elmer, Thomas W., II ; Sahakian, Alan V.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • Volume
    58
  • Issue
    6
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    1671
  • Lastpage
    1677
  • Abstract
    Using continuous wave, 94-GHz millimeter-wave interferometry, a signal representing chest wall motion can be obtained that contains both the heart rate and respiration patterns of a human subject. These components have to be separated from each other in the received signal. Our method was to use the quadrature and in-phase components of the signal, after removing the mean of each, to find the phase, unwrap it, and convert it to a displacement measurement. Using this, the power spectrum was examined for peaks, which corresponded to the heart rate and respiration rate. The displacement waveform of the chest was also analyzed for discrete heartbeats using a novel wavelet decomposition technique.
  • Keywords
    biomedical equipment; displacement measurement; electrocardiography; interferometry; remote sensing; continuous wave; discrete heartbeats; displacement waveform; frequency 94 GHz; heart patterns; in-phase components; millimeter-wave interferometry; power spectrum; remote sensing; respiration patterns; signal representing chest wall motion; wavelet decomposition technique; Antennas; Electrocardiography; Heart rate; Humans; Millimeter wave technology; Signal generators; Skin; Cardiography; heart rate; millimeter wave; noncontact; respiration; Electrocardiography; Heart Function Tests; Heart Rate; Humans; Interferometry; Respiratory Rate; Signal Processing, Computer-Assisted; Wavelet Analysis;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2111371
  • Filename
    5709976