A dynamic three-dimensional display of ventricular excitation and the generation of the vector and electrocardiogram

Olson, Charles W.; Warner, Robert A.; Wagner, Galen S.; Selvester, Ronald H.

doi:10.1054/jelc.2001.29793

Cited by 13 publications

(11 citation statements)

References 9 publications

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“…This surface is the basis for a perpendicular vector that represents the electrical signal recorded by the surface leads of the electrocardiograph [2,3]. The method was developed in a previous paper [1] and was modified to include the considerable effects of fiber orientation on the velocity of propagation Agreement between simulated and measured ECGs required numerous model iterations, each resulting in a modification of a simulation parameter.…”

Section: Methodsmentioning

confidence: 99%

“…The original program simulated both the normal and infarcted heart. The new program builds on the original program to include: 1 -LIFB These additional instructional simulation aids should make the program a more complete guide to the understanding of many types of heart problems. The simulation program shows a 3 dimensional view of the left ventricle with an orientation as seen in the human chest.…”

Section: Introductionmentioning

confidence: 99%

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A model for simulating Bundle Branch and Fascicular Block

Olson¹,

Wagner

Selvester

et al. 2007

2007 Computers in Cardiology

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Objective: To develop a model for simulation of Bundle Branch and Fascicular block. The model accounts for the contribution of fiber orientation to the velocity of signal propagation through the myocardium as well as "reentry" of the signal into the subendocardial purkinje system.. Methods: The Selvester/Soloman method for simulation of normal myocardial activation was adapted to the ECG-TECH Heart-to-loop-to leads software .The software connects the intercardiac activation to the body surface vector and ECG recordings and was modified for this study to simulate complete Right and Left Bundle Branch and Left Anterior and Left Posterior fascicular block. The process of developing models that simulated typical recorded QRS waveforms of these four conduction abnormalities involved iterative interaction among the investigators.Results: Accurate simulations of each of these interventricular conduction abnormalities was accomplished by utilizing published data on the purkinje and myocardial conduction properties, especially at the purkinje myocardial junction. Agreement between the simulated and recorded waveforms was accomplished by varying 1) the locations of the initial purkinje-myocardial activation sites and 2) the relative contributions of intramyocardial conduction and reentry to the subendocardial purkinje system to activation of myocardium past the point of conduction block.Conclusions: Accurate simulation of intraventricular conduction abnormalities caused by bundle branch and fascicular block abnormalities was accomplished. These results were then used to add conduction defects to the 3D Heart training program used to train medical students to better diagnose heart disease.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A model for simulating Bundle Branch and Fascicular Block

Olson¹,

Wagner

Selvester

et al. 2007

2007 Computers in Cardiology

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“…There are a few studies that elucidate how the conduction pathway changes after infarction using a three-dimensional computer model (28) and multiplunge needle electrodes in canines (29,30). Wu et al showed how activation patterns were changing during acute myocardial ischemia using a semithree-dimensional mapping technique (29,30).…”

Section: Myocardial Infarction and Electrical Activity Changementioning

confidence: 99%

Can magnetocardiography detect patients with non‐ST‐segment elevation myocardial infarction?

et al. 2007

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“…While previous studies have shown that in healthy hearts, the QRS vector loop lies in a single plane; previous models of this loop have not accounted for the variation in the structure of the LV conduction system to predict the position of this plane. 7 …”

Section: Introductionmentioning

confidence: 99%

Modeling vectorcardiograms based on left ventricle papillary muscle position

Loring¹,

Olson²,

Maynard³

et al. 2011

Journal of Electrocardiology

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Background Vectorcardiographic QRS loops illustrate the electrical activation of the left ventricle (LV) in three dimensional space; however, the individual variability in these loops is not well understood. The left bundle branch fan distributes the initial activation to the LV and has been shown to distribute its fascicles between the LV papillary muscles. Computer models of LV activation utilizing papillary muscle as the initial electrical activation points accurately predict QRS duration and frontal plane axis. Methods 12 healthy adults received standard 12-lead ECGs and 1.5 T cardiac MRI. Software developed by ECG-TECH Corp generated 3 dimensional QRS vector loops for each subject. Short and long axis papillary muscle positions were measured for each subject using cardiac MRI images. A theoretical plane equidistant from the endocardial origins of each papillary muscle was constructed. Vectors perpendicular to the QRS vector loop and the theoretical plane termed the “plane identifier” were used for comparison. Spearman-rank correlation was used to compare the azimuth and elevation of the “plane identifiers” of the QRS vector loop and the theoretical plane. Results No correlation was found between the azimuth or elevation of the theoretical plane and the QRS vector loops with Spearman-rank correlation coefficients of ρ = 0.11 (p=0.71) and ρ = 0.22 (p=0.49) respectively. Subgroup analysis by QRS vector loop morphology (planar vs. non-planar; narrow vs. wide) also demonstrated no correlation. Conclusions Modeling the activation of the LV based on papillary muscle position alone may be overly simplistic. Better understanding of what other factors contribute to individual variation in LV activation will help develop a more useful theoretical model.

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A dynamic three-dimensional display of ventricular excitation and the generation of the vector and electrocardiogram

Cited by 13 publications

References 9 publications

A model for simulating Bundle Branch and Fascicular Block

A model for simulating Bundle Branch and Fascicular Block

Can magnetocardiography detect patients with non‐ST‐segment elevation myocardial infarction?

Modeling vectorcardiograms based on left ventricle papillary muscle position

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