• DocumentCode
    3684882
  • Title

    Techniques for estimating blood pressure variation using video images

  • Author

    Norihiro Sugita;Kazuma Obara;Makoto Yoshizawa;Makoto Abe;Akira Tanaka;Noriyasu Homma

  • Author_Institution
    Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan
  • fYear
    2015
  • Firstpage
    4218
  • Lastpage
    4221
  • Abstract
    It is important to know about a sudden blood pressure change that occurs in everyday life and may pose a danger to human health. However, monitoring the blood pressure variation in daily life is difficult because a bulky and expensive sensor is needed to measure the blood pressure continuously. In this study, a new non-contact method is proposed to estimate the blood pressure variation using video images. In this method, the pulse propagation time difference or instantaneous phase difference is calculated between two pulse waves obtained from different parts of a subject´s body captured by a video camera. The forehead, left cheek, and right hand are selected as regions to obtain pulse waves. Both the pulse propagation time difference and instantaneous phase difference were calculated from the video images of 20 healthy subjects performing the Valsalva maneuver. These indices are considered to have a negative correlation with the blood pressure variation because they approximate the pulse transit time obtained from a photoplethysmograph. However, the experimental results showed that the correlation coefficients between the blood pressure and the proposed indices were approximately 0.6 for the pulse wave obtained from the right hand. This result is considered to be due to the difference in the transmission depth into the skin between the green and infrared light used as light sources for the video image and conventional photoplethysmogram, respectively. In addition, the difference in the innervation of the face and hand may be related to the results.
  • Keywords
    "Blood pressure","Biomedical monitoring","Skin","Face","Cameras","Correlation","Forehead"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319325
  • Filename
    7319325