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An ideally parameterized unscented Kalman filter for the inverse problem of electrocardiography

Authors :
Ritter Christian
Schulze Walther H. W.
Potyagaylo Danila
Dössel Olaf
Source :
Current Directions in Biomedical Engineering, Vol 1, Iss 1, Pp 395-399 (2015)
Publication Year :
2015
Publisher :
De Gruyter, 2015.

Abstract

ECG imaging as noninvasive method is aiming to reconstruct the distribution of the transmembrane voltage amplitudes (TMVs) from the body surface potential map (BSPM). Due to the ill-posedness, standard approaches like the Tikhonov regularization method cause blurring and artefacts in the solution. To suppress blurring and artefacts, this work investigated a model based approach, the unscented Kalman filter (UKF). The intention of this paper is to show the potential of an UKF approach by using an idealized parametrization.

Details

Language :
English
ISSN :
23645504
Volume :
1
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Current Directions in Biomedical Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.63352562a639479e85d06ad39bd2a8b9
Document Type :
article
Full Text :
https://doi.org/10.1515/cdbme-2015-0096