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The approach to solve the inverse problem of electrocardiography presented here is using a computer model of the individual heart of a patient. It is based on a 3D-MRI dataset. Electrophysiologically important tissue classes are incorporated using rules. Source distributions inside the heart are simulated using a cellular automaton. Finite element method is used to calculate the corresponding body...
Shape design optimization for an untethered microdevice meant to navigate in the human bloodstream is studied based on previous variational finite element (FE) work done. The suggested shape for a first generation prototype is a prolate spheroid design, which enables to minimize the drag force and to maximize the use of the MRI's magnetic gradients
The FEM geometry modeling of realistic head is a key issue for the research on FEM-based EEG/MEG. In this paper, a methodology is developed to construct this kind of model. By using this method, a five -layer realistic head FEM model is obtained, and with its application in FEM-based EEG, a satisfying result shows the reliability of the model
Quantification of the sensitivity of the electro-cardiographic forward problem to various parameters can effectively direct the generalization of patient specific models without significant loss in accuracy. To this purpose we applied polynomial chaos based stochastic finite elements to assess the effect of variations in the distributions of tissue conductivity in a two-dimensional torso geometry...
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