Dynamic Imaging in Electrical Impedance Tomography of the Human Chest With Online Transition Matrix Identification

Página do item simplificado
dc.contributor.authorMOURA, F. S.
dc.contributor.authorAYA, J. C. C.
dc.contributor.authorFLEURY, A. T.
dc.contributor.authorLIMA, R. G.
dc.contributor.authorAMATO M. B. P
dc.date.accessioned2022-01-12T22:04:04Z
dc.date.available2022-01-12T22:04:04Z
dc.date.issued2010-02-05
dc.description.abstractOne of the electrical impedance tomography objectives is to estimate the electrical resistivity distribution in a domain based only on electrical potential measurements at its boundary generated by an imposed electrical current distribution into the boundary. One of the methods used in dynamic estimation is the Kalman filter. In biomedical applications, the random walk model is frequently used as evolution model and, under this conditions, poor tracking ability of the extended Kalman filter (EKF) is achieved. An analytically developed evolution model is not feasible at this moment. The paper investigates the identification of the evolution model in parallel to the EKF and updating the evolution model with certain periodicity. The evolution model transition matrix is identified using the history of the estimated resistivity distribution obtained by a sensitivity matrix based algorithm and a Newton-Raphson algorithm. To numerically identify the linear evolution model, the Ibrahim time-domain method is used. The investigation is performed by numerical simulations of a domain with time-varying resistivity and by experimental data collected from the boundary of a human chest during normal breathing. The obtained dynamic resistivity values lie within the expected values for the tissues of a human chest. The EKF results suggest that the tracking ability is significantly improved with this approach. © 2010, IEEE. All rights reserved.
dc.description.firstpage422
dc.description.issuenumber2
dc.description.lastpage431
dc.description.volume57
dc.identifier.citationMOURA, F. S.; AYA, J. C. C.; FLEURY, A. T.; LIMA, R. G.; AMATO M. B. P. Dynamic Imaging in Electrical Impedance Tomography of the Human Chest With Online Transition Matrix Identification. IEEE Transactions on Biomedical Engineering, v. 57, n. 2, p. 422-431, Feb. 2010.
dc.identifier.doi10.1109/TBME.2009.2032529
dc.identifier.issn1558-2531
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4246
dc.relation.ispartofIEEE Transactions on Biomedical Engineering
dc.rightsAcesso Restrito
dc.subject.otherlanguageElectrical impedance tomography (EIT)
dc.subject.otherlanguageevolution model
dc.subject.otherlanguageIbrahim time-domain (ITD) method
dc.subject.otherlanguageKalman filter
dc.subject.otherlanguageparameter estimation
dc.titleDynamic Imaging in Electrical Impedance Tomography of the Human Chest With Online Transition Matrix Identification
dc.typeArtigo
fei.scopus.citations40
fei.scopus.eid2-s2.0-77950358311
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77950358311&origin=inward
Arquivos
Coleções
Artigos