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CESLab 3.0
THA Torso Model Technical Specifications

Mark Stevans
CESI
http://www.cesinst.com

September 4, 2000

1. Introduction

This document describes the CESI THA inhomogeneous adult human torso model, which is included with the HHA Bench distributed with the CESLab application.

2. Torso Model Component Objects

2.1. Polyhedra

The THA torso model contains the following polyhedra:

2.2. Tissue Types

The following Tissue Types are part of the THA torso model:

2.3. Compound Shapes

At present, there is only one Compound Shape particular to the THA torso model: Torso Compound Shape. It contains all geometric data used to generate the THA torso model.

Shape Editor view of the torso Compound Shape 10 cm above the normal position of the heart as seen from above. The tops of the lungs are nearly circular in this presentation, and the attachment points of the right and left limb electrodes can be seen.

Click on image to enlarge.

The lung shapes have been modified to fit the heart geometry and rotations as closely as possible, but should be considered very approximate.

Nine loci correspond with the nine standard electrodes, and are named accordingly. These loci serve to mark the desired positions of the associated electrodes. Note that, due to the discretization of the torso surface into polyhedral facets performed by CESLab for electrophysiological simulation, the positioning of electrodes is approximate.

2.4. Matrices

At present, there is only one matrix defined in the THA torso model: Torso Transformation Matrix. It should be left as an identity matrix.

3. Electrode Placement

3.1. Dependence Upon Polyhedron Facet Size

For the purposes of electrophysiological simulation, each electrode is associated with exactly one facet of the outermost employed torso polyhedron ("Single Torso Polyhedron" or "Outer Torso Polyhedron"). The ideal location for each electrode is specified by a correspondingly named locus in the Compound Shape named "Torso CompoundShape". During polyhedron generation, the facet closest to the ideal position is designated the electrode attachment point.

Thus, electrode positioning is necessarily inexact. The greater the number of facets, the more exact the positioning. The number of facets for a given polyhedron may indirectly modified by adjusting the maximum facet size of the associated polyhedron: the smaller the maximum facet size, the more facets will be generated.

However, note that the resources (real time and Macintosh free memory) for computation of Surface Potential Transfer Coefficients increases according to the square of the number of facets.

3.2. Limb Leads

Electrodes ER and EL are placed at the anterior surface of the corresponding shoulders. Electrode EF is centrally located on the lower anterior surface of the torso so as to create (in combination with the other two limb leads) an approximately equilateral triangle.

3.3. Precordial Leads

Precordial electrode placement is after Pilkington and Plonsey. The horizontal spacing along the torso surface between any two consecutive precordial leads is approximately equal. E1 and E2 are arranged symmetrically about the sternal line, and E6 is at the extreme left aspect of the torso. The fourth intercostal space is assumed to lie 2.5 cm upwards from the fifth.

3.4. Vectorcardiographic Leads

Vectorcardiographic electrode placement is after Mailloux and Gulrajani.

4. Modifying the THA Torso Model

Using the CESLab integrated Shape Editor, the user may modify the geometry of the torso model. Electrode placements can also be changed by moving the associated loci.

To alter the heart position or rotation within the torso model, the user may edit the matrix named "Heart Transformation Matrix". Any desired series of rotations and translations may be specified.

5. References

Gulrajani RM, Mailloux GE (1983). A simulation study of the effects of torso inhomogeneities on electrocardiographic potentials, using realistic heart and torso models. Circ Res 52: 45-56.

Mailloux GE, Gulrajani RM (1982). Theoretical evaluation of the McFee and Frank vectorcardiographic lead systems using a numerical inhomogeneous torso model. IEEE Trans Biomed Eng 29: 322-32.

McFee R, Rush S (1968). Qualitative effects of thoracic resistivity variations on the interpretation of electrocardiograms: the low resistance surface layer. Am Heart J 76: 48-61.

Pilkington TC, Plonsey R (1982). Engineering Contributions to Biophysical Electrocardiography. IEEE Press, New York. 2 Mark Stevans2;}¶|fi2STR ø„ˇˇ;}ôÿ