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Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology.

Krishnamoorthi S, Perotti LE, Borgstrom NP, Ajijola OA, Frid A, Ponnaluri AV, Weiss JN, Qu Z, Klug WS, Ennis DB, Garfinkel A - PLoS ONE (2014)

Bottom Line: We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time.We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential.Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, California, United States of America.

ABSTRACT
We describe a sequence of methods to produce a partial differential equation model of the electrical activation of the ventricles. In our framework, we incorporate the anatomy and cardiac microstructure obtained from magnetic resonance imaging and diffusion tensor imaging of a New Zealand White rabbit, the Purkinje structure and the Purkinje-muscle junctions, and an electrophysiologically accurate model of the ventricular myocytes and tissue, which includes transmural and apex-to-base gradients of action potential characteristics. We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time. We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential. These include producing a physiologically accurate ECG, a correct ventricular activation sequence, and the inducibility of ventricular fibrillation. Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations.

No MeSH data available.


Related in: MedlinePlus

Six lead placement and corresponding ECGs computed using different activation models.(A) Six bipolar lead placement in the rabbit ventricular model. The model of the rabbit torso (Stanford Computer Graphics Laboratory) is shown to illustrate the lead positions but it is not part of the computational domain. (B) ECG obtained with the low PMJ density model shows slurring, fractionation and poor R-wave progression. (C) ECG obtained with the high PMJ density model shows the correct physiological features. (D) ECG obtained using instantaneous endocardial activation contains poor R-wave progression and slurring. Superimposed animated version of the ECG is provided as supplementary material (S1 Figure).
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pone-0114494-g005: Six lead placement and corresponding ECGs computed using different activation models.(A) Six bipolar lead placement in the rabbit ventricular model. The model of the rabbit torso (Stanford Computer Graphics Laboratory) is shown to illustrate the lead positions but it is not part of the computational domain. (B) ECG obtained with the low PMJ density model shows slurring, fractionation and poor R-wave progression. (C) ECG obtained with the high PMJ density model shows the correct physiological features. (D) ECG obtained using instantaneous endocardial activation contains poor R-wave progression and slurring. Superimposed animated version of the ECG is provided as supplementary material (S1 Figure).

Mentions: We calculated ECGs for the six precordial leads V1 to V6 positioned in specific positions on the chest wall. The six leads were placed according to the following guidelines: V1 - right sternal border; V2 - left sternal border; V3 - midway between V2 and V4; V4 - left midclavicular line; V5 - level with V4, left anterior axillary line; and V6 - level with V4, left mid axillary line. The placement of these leads is shown on a rabbit torso model (Fig. 5A); the torso itself was not part of the computational domain.


Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology.

Krishnamoorthi S, Perotti LE, Borgstrom NP, Ajijola OA, Frid A, Ponnaluri AV, Weiss JN, Qu Z, Klug WS, Ennis DB, Garfinkel A - PLoS ONE (2014)

Six lead placement and corresponding ECGs computed using different activation models.(A) Six bipolar lead placement in the rabbit ventricular model. The model of the rabbit torso (Stanford Computer Graphics Laboratory) is shown to illustrate the lead positions but it is not part of the computational domain. (B) ECG obtained with the low PMJ density model shows slurring, fractionation and poor R-wave progression. (C) ECG obtained with the high PMJ density model shows the correct physiological features. (D) ECG obtained using instantaneous endocardial activation contains poor R-wave progression and slurring. Superimposed animated version of the ECG is provided as supplementary material (S1 Figure).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4262432&req=5

pone-0114494-g005: Six lead placement and corresponding ECGs computed using different activation models.(A) Six bipolar lead placement in the rabbit ventricular model. The model of the rabbit torso (Stanford Computer Graphics Laboratory) is shown to illustrate the lead positions but it is not part of the computational domain. (B) ECG obtained with the low PMJ density model shows slurring, fractionation and poor R-wave progression. (C) ECG obtained with the high PMJ density model shows the correct physiological features. (D) ECG obtained using instantaneous endocardial activation contains poor R-wave progression and slurring. Superimposed animated version of the ECG is provided as supplementary material (S1 Figure).
Mentions: We calculated ECGs for the six precordial leads V1 to V6 positioned in specific positions on the chest wall. The six leads were placed according to the following guidelines: V1 - right sternal border; V2 - left sternal border; V3 - midway between V2 and V4; V4 - left midclavicular line; V5 - level with V4, left anterior axillary line; and V6 - level with V4, left mid axillary line. The placement of these leads is shown on a rabbit torso model (Fig. 5A); the torso itself was not part of the computational domain.

Bottom Line: We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time.We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential.Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, California, United States of America.

ABSTRACT
We describe a sequence of methods to produce a partial differential equation model of the electrical activation of the ventricles. In our framework, we incorporate the anatomy and cardiac microstructure obtained from magnetic resonance imaging and diffusion tensor imaging of a New Zealand White rabbit, the Purkinje structure and the Purkinje-muscle junctions, and an electrophysiologically accurate model of the ventricular myocytes and tissue, which includes transmural and apex-to-base gradients of action potential characteristics. We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time. We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential. These include producing a physiologically accurate ECG, a correct ventricular activation sequence, and the inducibility of ventricular fibrillation. Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations.

No MeSH data available.


Related in: MedlinePlus