• DocumentCode
    3591241
  • Title

    Data-driven modeling of arterial wave propagation using non-invasive arterial pulse waveforms

  • Author

    Ghasemi, Zahra ; Jongchan Lee ; Chang-Sei Kim ; Hao-Min Cheng ; Mukkamala, Ramakrishna ; Jin-Oh Hahn

  • Author_Institution
    Mech. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This study investigates the validity of two non-invasive arterial pulse waveforms as viable indirect surrogates of arterial blood pressure waveforms, by conducting a data-driven modeling analysis of arterial wave propagation. Using the so-called “tube-load” model, we examined how well the relation between carotid versus femoral tonometry waveforms as well as carotid tonometry versus ankle pulse volume recording waveforms can be fitted to the model. Since the tube-load model describes the relationship between proximal versus distal blood pressures, we hypothesized that viable surrogates of blood pressure waveforms must be fitted well by the tube-load model. Preliminary results derived from 4 subjects with cardiovascular diseases indicated that carotid and femoral tonometry waveforms may serve as viable surrogate of arterial BP waveforms while PVR may need additional treatment, which was attributed to the nature of PVR waveforms: they are volume waveforms but not pressure waveforms.
  • Keywords
    blood pressure measurement; blood vessels; cardiovascular system; diseases; physiological models; wave propagation; waveform analysis; PVR waveform nature; ankle pulse volume recording waveform; arterial BP waveform surrogate; arterial blood pressure waveform surrogate; arterial wave propagation modeling; blood pressure waveform surrogate fitting; cardiovascular disease; carotid tonometry waveform; data-driven modeling analysis; distal blood pressure; femoral tonometry waveform; noninvasive arterial pulse waveform; proximal blood pressure; tube-load model fitting; Analytical models; Computational modeling; Load modeling; Mathematical model; Predictive models; Propagation; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
  • Print_ISBN
    978-1-4799-8358-2
  • Type

    conf

  • DOI
    10.1109/NEBEC.2015.7117065
  • Filename
    7117065