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Additional resources for Forward and Inverse Problems of Electrocardiography
Thus a large amount of differential equations must be solved in order to simulate electrophysiology of myocardium. This task requires huge computational efforts, strong parallelization and large volumes of memory, but leads to very precise results. Rule-based modeling, on the other hand, considers the excitation of small patches of ventricular tissue based on certain rules ignoring the nature of this excitation. These patches possess relatively large size (typically 1×1×1mm3 ), thus the memory consumption is moderate.
In [111, 112]). Another important area of application for this approach is the reconstruction of endocardial potentials given the results of catheter measurements [113, 114, 115]. 1 (a, b). 1: Three formulations of the inverse problem of electrocardiography: epicardial potentials reconstructed from body surface potential mapping (a), endocardial potentials reconstructed from intracardiac catheter measurements (b), uniform double layer with activation times reconstructed from BSPM (c). Adopted from .
3. 2 Electrophysiology of the Heart The heart contains two types of muscle cells: those producing and transferring the electrical excitation as well as those reacting on the excitation with contraction . The excitation triggering the cardiac contraction is generated within the heart, thus assuring an autonomous heart function. The activation is normally generated in the sinoatrial node (SA-node), afterwards propagating through both atria to the atrioventricular node (AV-node). The AV-node acts as a secondary pacemaker if the SA-node does not function or its impulses are blocked.