Literature DB >> 7967835

Forward problem of electrocardiography: construction of human torso models and field calculations using finite element method.

A V Shahidi1, P Savard.   

Abstract

Finite element models of the human torso were constructed using anatomical data measured by serial computerised tomography scans in a subject. A first set of three models with a mesh resolution of 5517 nodes and 29810 elements included an homogeneous conductivity, lungs inhomogeneity, and heart, lungs and spinal region inhomogeneities. A second set comprised similar models with a mesh resolution of 12084 nodes and 67045 elements. A cylindrically shaped volume conductor was also constructed to evaluate the convergency and accuracy of the finite element solutions by comparison with the analytical solution. Forward simulations were performed using different excitation sites on the cardiac surface. The inclusion of conductivity inhomogeneities altered the maximum and minimum values of the body surface potentials, but did not substantially modify the pattern of the potential distributions. The greatest effect was due to the inclusion of the lungs. Increasing the mesh resolution from 5517 to 12084 nodes did not change noticeably the shape or amplitude of the simulated body surface potential maps. These models can readily be used for other bioelectromagnetic problems.

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Year:  1994        PMID: 7967835     DOI: 10.1007/BF02523324

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  12 in total

1.  A theoretical analysis of intracavitary blood mass influence on the heart-lead relationship.

Authors:  D A BRODY
Journal:  Circ Res       Date:  1956-11       Impact factor: 17.367

2.  The effect of torso inhomogeneities on body surface potentials quantified using "tailored" geometry.

Authors:  A van Oosterom; G J Huiskamp
Journal:  J Electrocardiol       Date:  1989-01       Impact factor: 1.438

3.  The eccentric spheres model as the basis for a study of the role of geometry and inhomogeneities in electrocardiography.

Authors:  Y Rudy; R Plonsey
Journal:  IEEE Trans Biomed Eng       Date:  1979-07       Impact factor: 4.538

4.  A comparison of finite element and integral equation formulations for the calculation of electrocardiographic potentials--II.

Authors:  T C Pilkington; M N Morrow; P C Stanley
Journal:  IEEE Trans Biomed Eng       Date:  1987-03       Impact factor: 4.538

5.  Use of the finite element method to determine epicardial from body surface potentials under a realistic torso model.

Authors:  Y Yamashita; T Takahashi
Journal:  IEEE Trans Biomed Eng       Date:  1984-09       Impact factor: 4.538

6.  A comparison of finite element and integral equation formulations for the calculation of electrocardiographic potentials.

Authors:  T C Pilkington; M N Morrow; P C Stanley
Journal:  IEEE Trans Biomed Eng       Date:  1985-02       Impact factor: 4.538

7.  Inverse calculation of QRS-T epicardial potentials from body surface potential distributions for normal and ectopic beats in the intact dog.

Authors:  R C Barr; M S Spach
Journal:  Circ Res       Date:  1978-05       Impact factor: 17.367

8.  Determining surface potentials from current dipoles, with application to electrocardiography.

Authors:  R C Barr; T C Pilkington; J P Boineau; M S Spach
Journal:  IEEE Trans Biomed Eng       Date:  1966-04       Impact factor: 4.538

9.  Forward and inverse electrocardiographic calculations using resistor network models of the human torso.

Authors:  S J Walker; D Kilpatrick
Journal:  Circ Res       Date:  1987-10       Impact factor: 17.367

10.  A simulation study of the effects of torso inhomogeneities on electrocardiographic potentials, using realistic heart and torso models.

Authors:  R M Gulrajani; G E Mailloux
Journal:  Circ Res       Date:  1983-01       Impact factor: 17.367

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  2 in total

1.  A new algorithm to diagnose atrial ectopic origin from multi lead ECG systems--insights from 3D virtual human atria and torso.

Authors:  Erick A Perez Alday; Michael A Colman; Philip Langley; Timothy D Butters; Jonathan Higham; Antony J Workman; Jules C Hancox; Henggui Zhang
Journal:  PLoS Comput Biol       Date:  2015-01-22       Impact factor: 4.475

2.  Facilitating arrhythmia simulation: the method of quantitative cellular automata modeling and parallel running.

Authors:  Hao Zhu; Yan Sun; Gunaretnam Rajagopal; Adrian Mondry; Pawan Dhar
Journal:  Biomed Eng Online       Date:  2004-08-30       Impact factor: 2.819

  2 in total

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