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

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Abstract

In the field of bioimpedance measurements, the Cole impedance model is widely used for characterizing biological tissues and biochemical materials. In this work, a nonlinear least squares fitting is applied to extract the double-dispersion Cole impedance parameters from simulated magnitude response datasets without requiring the direct impedance data or phase information. The technique is applied to extract the impedance parameters from MATLAB simulated noisy magnitude datasets showing less than 1.2 % relative error when 60 dB SNR Gaussian white noise is present. This extraction is verified experimentally using apples as the Cole impedances showing less than 3 % relative error between simulated responses (using the extracted impedance parameters) and the experimental results over the entire dataset.

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Acknowledgments

Todd Freeborn would like to acknowledge Canada’s National Sciences and Engineering Research Council (NSERC), Alberta Innovates—Technology Futures, and Alberta Advanced Education & Technology for their financial support of this research through their graduate student scholarships.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr. N.W., Calgary, Canada

    Todd J. Freeborn & Brent Maundy

  2. Department of Electrical and Computer Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates

    Ahmed S. Elwakil

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  1. Todd J. Freeborn
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  2. Brent Maundy
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  3. Ahmed S. Elwakil
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Correspondence to Todd J. Freeborn.

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Freeborn, T.J., Maundy, B. & Elwakil, A.S. Extracting the parameters of the double-dispersion Cole bioimpedance model from magnitude response measurements. Med Biol Eng Comput 52, 749–758 (2014). https://doi.org/10.1007/s11517-014-1175-5

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  • DOI: https://doi.org/10.1007/s11517-014-1175-5

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