Literature DB >> 10092027

Application of high-order boundary elements to the electrocardiographic inverse problem.

G Fischer1, B Tilg, P Wach, R Modre, U Leder, H Nowak.   

Abstract

Eight-noded quadrilateral boundary elements are applied to the electrocardiographic inverse problem as an example for high-order boundary elements. It is shown that the choice of the shape functions used for approximation of the potentials has a remarkable influence on the solution obtained if the number of electrodes is smaller than the number of primary source points (under-determined equation system). Three different formulations are investigated considering a concentric spheres problem where an analytic solution is available: (a) the isoparametric formulation; (b) the quasi-first-order formulation; and (c) the pseudo-subparametric formulation as a new method. In a second step the pseudo-subparametric formulation (which provided the best results in the test problem) is applied to real word data. The transmembrane potential pattern of a 40 years old female suffering from severe heart failure and ventricular tachycardia after large anterior wall myocardial infarction is reconstructed for one time instant. Furthermore, an algorithm for the calculation of the transfer matrix is presented which avoids restrictions to the boundary element mesh caused by the placement of the electrodes.

Entities:  

Mesh:

Year:  1999        PMID: 10092027     DOI: 10.1016/s0169-2607(98)00076-5

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  7 in total

1.  Fast realistic modeling in bioelectromagnetism using lead-field interpolation.

Authors:  B Yvert; A Crouzeix-Cheylus; J Pernier
Journal:  Hum Brain Mapp       Date:  2001-09       Impact factor: 5.038

2.  Accuracy of quadratic versus linear interpolation in noninvasive Electrocardiographic Imaging (ECGI).

Authors:  Subham Ghosh; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2005-09       Impact factor: 3.934

3.  Acceleration of FEM-based transfer matrix computation for forward and inverse problems of electrocardiography.

Authors:  Dmytro Farina; Y Jiang; O Dössel
Journal:  Med Biol Eng Comput       Date:  2009-12       Impact factor: 2.602

4.  Assessment of regularization techniques for electrocardiographic imaging.

Authors:  Matija Milanič; Vojko Jazbinšek; Robert S Macleod; Dana H Brooks; Rok Hren
Journal:  J Electrocardiol       Date:  2013-10-17       Impact factor: 1.438

5.  Resolution strategies for the finite-element-based solution of the ECG inverse problem.

Authors:  Dafang Wang; Robert M Kirby; Chris R Johnson
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-16       Impact factor: 4.538

6.  Application of L1-norm regularization to epicardial potential solution of the inverse electrocardiography problem.

Authors:  Subham Ghosh; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2009-03-06       Impact factor: 3.934

7.  Ventricular surface activation time imaging from electrocardiogram mapping data.

Authors:  R Modre; B Tilg; G Fischer; F Hanser; B Messnarz; M Seger; F Hintringer; F X Roithinger
Journal:  Med Biol Eng Comput       Date:  2004-03       Impact factor: 2.602

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.