• DocumentCode
    114230
  • Title

    A novel method to reconstruct central aortic pressure signal using dual-peripheral pressure waves

  • Author

    Youfei Cai ; Chao Ma ; Pandeng Zhang ; Jia Liu

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    565
  • Lastpage
    568
  • Abstract
    Reconstructing central aortic pressure (CAP) from non-invasive bio-signals is challenging. Recent studies have shown a promising reconstruction method using peripheral arterial pressure together with blood flow waves. However, blood waves cannot be readily acquired. We thus proposed a novel approach to reconstruct CAP using dual-peripheral arterial pressure waves measured from brachial and radial arteries based on the wave separation and reconstruction method. According to the widely used three-element Windkessel model (Fig. 1), we re-formulated forward and backward wave equations in frequency domain in order to derive solutions from two peripheral blood pressure waves. Our results showed that this method can accurately reconstruct CAP.
  • Keywords
    blood pressure measurement; blood vessels; medical signal processing; signal reconstruction; CAP; backward wave equations; blood flow waves; brachial arteries; central aortic pressure reconstruction; central aortic pressure signal reconstruction; dual-peripheral arterial pressure waves; dual-peripheral pressure waves; forward wave equations; frequency domain; noninvasive bio-signals; peripheral blood pressure waves; radial arteries; reconstruction method; three-element Windkessel model; wave separation; Arteries; Blood pressure; Equations; Mathematical model; Noise; Pollution measurement; Pressure measurement; CAP; Reconstruct; dual-peripheral pressure waves; new approach; promising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920541
  • Filename
    6920541