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

Author:

Walker S J1,Kilpatrick D1

Affiliation:

1. Department of Medicine, Clinical School, University of Tasmania, Hobart, Australia.

Abstract

An automated method of modelling the electrical properties of the human thorax from horizontal section data such as computerized tomographic scans has been used to develop both forward and inverse transformations between epicardial and body surface potential distributions. Eleven torso models with varying geometry and organ configurations have been studied. For the forward calculations, a standard dipole-like source is placed along the axis of the heart. Inverse calculations are performed using a measured body surface potential distribution and are based on a division of the surface of the heart into 25 source regions, producing epicardial potentials on these regions. A regularization method is used to stabilize the inverse solutions. Both forward and inverse solutions show substantial differences between models. These findings imply that matching models with patient geometry may be necessary in order to use such solutions in a clinical setting.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,Physiology

Reference30 articles.

1. Inverse solution in electrocardiography: Determining epicardial from body surface maps by using the finite element method.

2. Kim Y Tompkins WJ Webster JG: Development of a modifiable computer body model in Gerhard GC Miller WT (eds): Frontiers of Engineering and Computing in Health Care. Proceedings Fifth Annual Conference IEEE in Medicine and Biology Society. New York IEEE Engineering in Medicine and Biology Society 1983 pp 45-50

3. Inverse Recovery of Two Moving Dipoles from Simulated Surface Potential Distributions on a Realistic Human Torso Model

4. Theoretical Studies on the Inverse Problem in Electrocardiography and the Uniqueness of the Solution

5. Walker SJ Kilpatrick D: An automated system for modelling the electrical properties of the human torso in Ripley KL (ed): Computers in Cardiology. Washington DC IEEE Computer Society 1985 pp 409-412

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