Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14915
Title: Investigation of catheter curvature and genetic algorithms in conductance catheter optimization
Authors: Thaijiam C.
Gale T.J.
Keywords: Blood
Electrodes
Finite element method
Genetic algorithms
Optimization
Blood volume measurement
Catheter curvature
Conductance catheter optimization
Electrode configurations
Catheters
algorithm
article
biological model
catheterization
electric conductivity
electrode
electrophysiology
equipment
equipment design
finite element analysis
heart volume
human
impedance cardiography
methodology
signal processing
statistical analysis
statistical model
theoretical model
Algorithms
Cardiac Volume
Cardiography, Impedance
Catheterization
Data Interpretation, Statistical
Electric Conductivity
Electrodes
Electrophysiology
Equipment Design
Finite Element Analysis
Humans
Models, Genetic
Models, Statistical
Models, Theoretical
Signal Processing, Computer-Assisted
Issue Date: 2007
Abstract: Catheter curvature affects accuracy of intraventricular blood volume measurement when using conductance catheter techniques, especially with irregular geometries, such as in the right ventricle. To investigate this effect, we present results from using different curved catheter configurations and different numbers of electrodes in a simple Finite Element model. It was found that there is an apparent increase in accuracy with curvature, due to greater linearity in the field in the region of the measurement electrodes, which are located farther from the source electrodes as curvature increases. Also, optimization using Genetic Algorithms is presented as a method to find the optimal distribution of measurement electrodes. We plan to extend these results to develop improved electrode configurations for using in blood volume measurement in the right ventricle. © 2007 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/14915
https://www.scopus.com/inward/record.uri?eid=2-s2.0-57649236206&doi=10.1109%2fIEMBS.2007.4352759&partnerID=40&md5=2b49533e37803949f75a26b2035ffb7f
ISSN: 5891019
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.