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
Link To Document :
بازگشت