DocumentCode
2410868
Title
Cole equation and parameter estimation from electrical bioimpedance spectroscopy measurements - A comparative study
Author
Ayllón, David ; Seoane, Fernando ; Gil-Pita, Roberto
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
3779
Lastpage
3782
Abstract
Since there are several applications of Electrical Bioimpedance (EBI) that use the Cole parameters as base of the analysis, to fit EBI measured data onto the Cole equation is a very common practice within Multifrequency-EBI and spectroscopy. The aim of this paper is to compare different fitting methods for EBI data in order to evaluate their suitability to fit the Cole equation and estimate the Cole parameters. Three of the studied fittings are based on the use of Non-Linear Least Squares on the Cole model, one using the real part only, a second using the imaginary part and the third using the complex impedance. Furthermore, a novel fitting method done on the impedance plane, without using any frequency information has been implemented and included in the comparison. Results show that the four methods perform relatively well but the best fitting in terms of standard error of estimate is the fitting obtained from the resistance only. The results support the possibility of measuring only the resistive part of the bioimpedance to accurately fit Cole equation and estimate the Cole parameters, with entailed advantages.
Keywords
bioelectric phenomena; biomedical measurement; electric impedance measurement; least squares approximations; parameter estimation; spectroscopy; Cole equation; complex impedance; curve fitting; electrical bioimpedance spectroscopy; nonlinear least squares; parameter estimation; Algorithms; Artifacts; Biophysics; Diagnostic Imaging; Electric Impedance; Electrochemistry; Electrophysiology; Humans; Least-Squares Analysis; Models, Statistical; Models, Theoretical; Reproducibility of Results; Spectrum Analysis; Time Factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5334494
Filename
5334494
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