Literature DB >> 19964815

Cole equation and parameter estimation from electrical bioimpedance spectroscopy measurements - A comparative study.

David Ayllon, Fernando Seoane, Roberto Gil-Pita.   

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.

Mesh:

Year:  2009        PMID: 19964815     DOI: 10.1109/IEMBS.2009.5334494

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  Extraction of Cole parameters from the electrical bioimpedance spectrum using stochastic optimization algorithms.

Authors:  Shiva Gholami-Boroujeny; Miodrag Bolic
Journal:  Med Biol Eng Comput       Date:  2015-07-28       Impact factor: 2.602

2.  Design of Bioimpedance Spectroscopy Instrument With Compensation Techniques for Soft Tissue Characterization.

Authors:  Robert E Dodde; Grant H Kruger; Albert J Shih
Journal:  J Med Device       Date:  2015-06       Impact factor: 0.582

3.  Extracting the parameters of the double-dispersion Cole bioimpedance model from magnitude response measurements.

Authors:  Todd J Freeborn; Brent Maundy; Ahmed S Elwakil
Journal:  Med Biol Eng Comput       Date:  2014-07-15       Impact factor: 2.602

4.  Electrical Impedance Characterization of in Vivo Porcine Tissue Using Machine Learning.

Authors:  Stephen Chiang; Matthew Eschbach; Robert Knapp; Brian Holden; Andrew Miesse; Steven Schwaitzberg; Albert Titus
Journal:  J Electr Bioimpedance       Date:  2021-07-02

5.  Preliminary study on parameterization of raw electrical bioimpedance data with 3 frequencies.

Authors:  C A González-Correa; S A Jaimes; J I Cárdenas-Jiménez
Journal:  Sci Rep       Date:  2022-06-03       Impact factor: 4.996

6.  Screening Test on Metabolic Syndrome Using Electro Interstitial Scan Instrument.

Authors:  Phawit Norchai; Thipaporn Tharavanij; Picha Suwannahitatorn; Thammanard Charernboon
Journal:  Med Devices (Auckl)       Date:  2020-09-03

7.  Assessing Ischemic Injury in Human Intestine Ex Vivo with Electrical Impedance Spectroscopy.

Authors:  Jie Hou; Runar Strand-Amundsen; Stina Hødnebø; Tor Inge Tønnessen; Jan Olav Høgetveit
Journal:  J Electr Bioimpedance       Date:  2021-11-29

8.  Stroke damage detection using classification trees on electrical bioimpedance cerebral spectroscopy measurements.

Authors:  Seyed Reza Atefi; Fernando Seoane; Thorleif Thorlin; Kaj Lindecrantz
Journal:  Sensors (Basel)       Date:  2013-08-07       Impact factor: 3.576

Review 9.  The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-06-19       Impact factor: 3.576

10.  Detection and Classification of Measurement Errors in Bioimpedance Spectroscopy.

Authors:  David Ayllón; Roberto Gil-Pita; Fernando Seoane
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

  10 in total

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