Title
Towards an accurate bioimpedance identification Towards an accurate bioimpedance identification
Author
Faculty/Department
Faculty of Applied Engineering Sciences
Publication type
conferenceObject
Publication
Bristol :IOP Publishing Ltd. ,
Subject
Engineering sciences. Technology
Source (journal)
Journal of physics : conference series. - Bristol
Source (book)
15th International Conference on Electrical Bio-Impedance (ICEBI) & 14th, Conference on Electrical Impedance Tomography (EIT), 2225 April 2013, Heilbad Heiligenstadt, Germany
Volume/pages
434(2013) , p. 1-4
ISSN
1742-6588
1742-6596
1742-6588
Article Reference
012002
Carrier
E-only publicatie
Target language
English (eng)
Full text (Publishers DOI)
Abstract
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.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000326512200002&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000326512200002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848