Cole equation and parameter estimation from electrical bioimpedance spectroscopy measurements: A comparative study
2009 (English)In: EMBC: 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, Buenos Aires: IEEE Engineering in Medicine and Biology , 2009, 3779-3782 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Buenos Aires: IEEE Engineering in Medicine and Biology , 2009. 3779-3782 p.
, IEEE Engineering in Medicine and Biology Society Conference Proceedings, ISSN 1557-170X
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, Algorithms, Artifacts, Biophysics, Diagnostic Imaging, Electric Impedance, Electrochemistry, Electrophysiology, Humans, Least-Squares Analysis, Models, Statistical, Models, Theoretical, Reproducibility of Results, Spectrum Analysis, Time Factors
Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:kth:diva-74137ISI: 000280543603036OAI: oai:DiVA.org:kth-74137DiVA: diva2:489304
Annual International Conference of the IEEE Engineering in Medicine and Biology Society,
QC 201202142012-02-022012-02-022012-02-14Bibliographically approved