Publication:
Investigation of catheter curvature and genetic algorithms in conductance catheter optimization

2
0

Issued Date

2007

Resource Type

Conference Paper

File Type

application/pdf

ISSN

5891019

DOI

10.1109/IEMBS.2007.4352759

Other identifier(s)

2-s2.0-57649236206

Rights Holder(s)

มหาวิทยาลัยศรีนครินทรวิโรฒ

Bibliographic Citation

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. (2007), p.2195-2198

Suggested Citation

Thaijiam C., Gale T.J. Investigation of catheter curvature and genetic algorithms in conductance catheter optimization. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. (2007), p.2195-2198. doi:10.1109/IEMBS.2007.4352759 Retrieved from: https://hdl.handle.net/20.500.14740/4266

Title

Investigation of catheter curvature and genetic algorithms in conductance catheter optimization

Author(s)

Thaijiam C.
 Gale T.J.

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.

Subject(s)

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

View online Resources

Research Projects

Organizational Units

Journal Issue

URI

https://hdl.handle.net/20.500.14740/4266

Collections

Scopus: Year 1983-2021

Endorsement

Review

Supplemented By

Referenced By