• DocumentCode
    2951325
  • Title

    Cole parameter estimation from electrical bioconductance spectroscopy measurements

  • Author

    Seoane, Fernando ; Buendía, Rubén ; Gil-Pita, Roberto

  • Author_Institution
    Sch. of Eng., Univ. of Boras, Borås, Sweden
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3495
  • Lastpage
    3498
  • Abstract
    Several applications of Electrical Bioimpedance (EBI) make use of Cole parameters as base of their analysis, therefore Cole parameters estimation has become a very common practice within Multifrequency- and EBI spectroscopy. EBI measurements are very often contaminated with the influence of parasitic capacitances, which contributes to cause a hook-alike measurement artifact at high frequencies in the EBI obtained data. Such measurement artifacts might cause wrong estimations of the Cole parameters, contaminating the whole analysis process and leading to wrong conclusions. In this work, a new approach to estimate the Cole parameters from the real part of the admittance, i.e. the conductance, is presented and its performance is compared with the results produced with the traditional fitting of complex impedance to a depressed semi-circle. The obtained results prove that is feasible to obtain the full Cole equation from only the conductance data and also that the estimation process is safe from the influence capacitive leakage.
  • Keywords
    bioelectric phenomena; biomedical measurement; electric admittance measurement; electric impedance measurement; medical signal processing; parameter estimation; Cole equation; Cole parameter estimation; EBI spectroscopy; complex impedance; conductance data; electrical admittance real part; electrical bioconductance spectroscopy measurements; electrical bioimpedance; multifrequency spectroscopy; parasitic capacitance effects; Admittance; Estimation; Fitting; Impedance; Mathematical model; Parasitic capacitance; Pollution measurement; Algorithms; Animals; Computer Simulation; Dielectric Spectroscopy; Humans; Models, Biological; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627790
  • Filename
    5627790