Key result
A computational anatomical model of the peripheral cardiac conduction system using an enhanced L-systems algorithm successfully generated electrical activation sequences with physiological characteristics.
A novel computational methodology using enhanced L-systems successfully constructs a ventricular model of the cardiac conduction system capable of generating physiological electrical activation sequences.
Enables detailed ventricular conduction simulation; extends L-systems modeling but leaves open experimental validation.
A methodology is presented here for automatic construction of a ventricular model of the cardiac conduction system (CCS), which is currently a missing block in many multiscale cardiac electromechanic models. It includes the His bundle, left bundle branches, and the peripheral CCS. The algorithm is fundamentally an enhancement of a rule-based method known as the Lindenmayer systems (L-systems). The generative procedure has been divided into three consecutive independent stages, which subsequently build the CCS from proximal to distal sections. Each stage is governed by a set of user parameters together with anatomical and physiological constrains to direct the generation process and adhere to the structural observations derived from histology studies. Several parameters are defined using statistical distributions to introduce stochastic variability in the models. The CCS built with this approach can generate electrical activation sequences with physiological characteristics.
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Sebastián et al. (2011) studied Cardiac conduction system modeling. Computational anatomical model of the peripheral cardiac conduction system was evaluated on Generation of electrical activation sequences with physiological characteristics. A computational anatomical model of the peripheral cardiac conduction system using an enhanced L-systems algorithm successfully generated electrical activation sequences with physiological characteristics.
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