DocumentCode
1037502
Title
Simulation of QRST integral maps with a membrane-based computer heart model employing parallel processing
Author
Trudel, Marie-Claude ; Dubé, Bruno ; Potse, Mark ; Gulrajani, Ramesh M. ; Leon, L.Joshua
Author_Institution
Inst. of Biomed. Eng., Univ. de Montreal, Que., Canada
Volume
51
Issue
8
fYear
2004
Firstpage
1319
Lastpage
1329
Abstract
The simulation of the propagation of electrical activity in a membrane-based realistic-geometry computer model of the ventricles of the human heart, using the governing monodomain reaction-diffusion equation, is described. Each model point is represented by the phase 1 Luo-Rudy membrane model, modified to represent human action potentials. A separate longer duration action potential was used for the M cells found in the ventricular midwall. Cardiac fiber rotation across the ventricular wall was implemented via an analytic equation, resulting in a spatially varying anisotropic conductivity tensor and, consequently, anisotropic propagation. Since the model comprises approximately 12.5 million points, parallel processing on a multiprocessor computer was used to cut down on simulation time. The simulation of normal activation as well as that of ectopic beats is described. The hypothesis that in situ electrotonic coupling in the myocardium can diminish the gradients of action-potential duration across the ventricular wall was also verified in the model simulations. Finally, the sensitivity of QRST integral maps to local alterations in action-potential duration was investigated.
Keywords
bioelectric potentials; electrocardiography; medical signal processing; parallel processing; physiological models; reaction-diffusion systems; M cells; QRST integral maps; cardiac fiber rotation; ectopic beats; electrical activity; human action potentials; in situ electrotonic coupling; membrane-based computer heart model; monodomain reaction-diffusion equation; multiprocessor computer; myocardium; parallel processing; phase 1 Luo-Rudy membrane model; spatially varying anisotropic conductivity tensor; ventricles; Anisotropic magnetoresistance; Biomembranes; Computational modeling; Computer simulation; Concurrent computing; Conductivity; Heart; Humans; Integral equations; Parallel processing; Action Potentials; Animals; Cell Membrane; Computer Simulation; Computing Methodologies; Electrocardiography; Endocardium; Heart Conduction System; Heart Ventricles; Humans; Membrane Potentials; Models, Cardiovascular; Myocytes, Cardiac; Pericardium; Synaptic Transmission;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2004.827934
Filename
1315853
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