Challenges in modelling human heart's total excitation
Horáček, B. Milan (Author), Simelius, Kim (Author), Hren, Rok (Author), Nenonen, Jukka (Author)

URLURL - Presentation file, Visit http://link.springer-ny.com/link/service/series/0558/bibs/2230/22300039.htm This link opens in a new window

Using a three-dimensional computer model of the human ventricular myocardium, we studied the role of ventricular arhitecture and conduction system in generating intramural activation patterns and the extracardiac electric field. The model represents the myocardium as an aisotropic bidomain; it incorporates detailed anatomical features, including intramural fiber rotation, the differences in the fiber arrangement of the trabeculae and papillary muscles, and a conduction system. Ectopic activation was elicited at various depths, and "normal" activation was initiated via the conduction system. Extracardiac potentials were calculated throughout each activation sequence. The simulated epicardial potential maps resembled those measured in canine hearts, featuring a central minimum accompanied by two maxima in the early stages of ectopic activation, with the axis joining this extrema approximately parallel to the fibers near the pacing site. The simulated isochrones for the "normal" activation had characteristics very similar to those observed in isolated perfused human hearts.

Keywords:računalniški model, elektrokardiografija, simulacije, anizotropija, computer model, electrocardiography, simulations, anisotropy
Work type:Not categorized (r6)
Tipology:1.06 - Published Scientific Conference Contribution (invited lecture)
Organization:FMF - Faculty of Mathematics and Physics
Number of pages:Str. 39-46
ISSN on article:0302-9743
COBISS.SI-ID:11624281 Link is opened in a new window
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Record is a part of a proceedings

Title:Functional imaging and modeling of the heart
COBISS.SI-ID:11624025 This link opens in a new window

Record is a part of a journal

Title:Lecture notes in computer science
Shortened title:Lect. notes comput. sci.
COBISS.SI-ID:4292374 This link opens in a new window

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