Towards an accurate bioimpedance identificationTowards an accurate bioimpedance identification
Faculty of Applied Engineering Sciences
2013Bristol :IOP Publishing Ltd., 2013
Engineering sciences. Technology
Journal of physics : conference series. - Bristol
15th International Conference on Electrical Bio-Impedance (ICEBI) & 14th, Conference on Electrical Impedance Tomography (EIT), 2225 April 2013, Heilbad Heiligenstadt, Germany
434(2013), p. 1-4
This paper describes the local polynomial method (LPM) for estimating the time-invariant bioimpedance frequency response function (FRF) considering both the output-error (OE) and the errors-in-variables (EIV) identification framework and compare it with the traditional cross and autocorrelation spectral analysis techniques. The bioimpedance FRF is measured with the multisine electrical impedance spectroscopy (EIS) technique. To show the overwhelming accuracy of the LPM approach, both the LPM and the classical cross- and autocorrelation spectral analysis technique are evaluated through the same experimental data coming from a nonsteady-state measurement of time-varying in vivo myocardial tissue. The estimated error sources at the measurement frequencies due to noise, sigma(n)(Z), and the stochastic nonlinear distortions, sigma(NL)(Z), have been converted to Omega and plotted over the bioimpedance spectrum for each framework. Ultimately, the impedance spectra have been fitted to a Cole impedance model using both an unweighted and a weighted complex nonlinear least square (CNLS) algorithm. A table is provided with the relative standard errors on the estimated parameters to reveal the importance of which system identification frameworks should be used.