• DocumentCode
    1797151
  • Title

    Automated deviation and modoling of the pressure-geometry relationship of esophageal body in impedance planimetry studies

  • Author

    Zhiyue Lin ; Yinglian Xiao ; Hirano, Ikuya ; Kahrilas, Peter J. ; Pandolfino, John E.

  • Author_Institution
    Dept. of Med., Northwestern Univ., Chicago, IL, USA
  • fYear
    2014
  • fDate
    9-13 July 2014
  • Firstpage
    592
  • Lastpage
    596
  • Abstract
    This study aimed to develop an automated method to investigate the pressure-geometry relationship of esophageal body in patients with eosinophilic esophagitis (EoE). Esophageal cross-sectional areas (CSAs) and intrabag pressure data were measured in 25 EoE patients with a functional luminal imaging probe (FLIP) and analyzed by a manual reading and by a customized MATLAB program with three functions: minimizing artifacts with a median filter; isolating contraction waves with a nonlinear pulse detector and deriving median values of a minimal pressure segment and corresponding narrowest esophageal CSAs during each distension; and modeling the distensibility of the esophageal body with a polynomial regression technique to derive the distension slope and distension plateau. This regression technique was also applied to manual readings for comparison. Such comparison shows that results of automated method highly correlated with manual reading (R≥0.84) and offered advantages in minimizing the influence of artifacts and inter-observer variability.
  • Keywords
    median filters; medical image processing; patient monitoring; polynomials; regression analysis; CSA; EoE patients; FLIP; artifact variability; eosinophilic esophagitis; esophageal body; esophageal cross-sectional areas; functional luminal imaging probe; impedance planimetry studies; interobserver variability; intrabag pressure data; isolating contraction waves; median filter; nonlinear pulse detector; polynomial regression technique; pressure-geometry relationship; Analytical models; Data models; Filtering; Manuals; Polynomials; Pressure measurement; Probes; Eosinophilic esophagitis; esophageal distensibility; impedance planimetry; median filter; polynomial regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-5401-8
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2014.6889312
  • Filename
    6889312