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Resolution Strategies for the Finite-Element-Based Solution of the ECG Inverse Problem

机译:基于有限元的心电图反问题的求解策略

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摘要

Successful employment of numerical techniques for the solution of forward and inverse ECG problems requires the ability to both quantify and minimize approximation errors introduced as part of the discretization process. Our objective is to develop discretization and refinement strategies involving hybrid-shaped finite elements so as to minimize approximation errors for the ECG inverse problem. We examine both the ill-posedness of the mathematical inverse problem and the ill-conditioning of the discretized system in order to propose strategies specifically designed for the ECG inverse problem. We demonstrate that previous discretization and approximation strategies may worsen the properties of the inverse problem approximation. We then demonstrate the efficacy of our strategies on both a simplified and a realistic 2-D torso model.
机译:成功地使用数值技术来解决正向和反向ECG问题,需要能够量化和最小化离散化过程中引入的近似误差。我们的目标是开发涉及混合形状有限元的离散化和细化策略,以最大程度地减小ECG反问题的近似误差。为了提出专门为ECG反问题设计的策略,我们同时检查了数学反问题的不适定性和离散系统的不适性。我们证明了以前的离散化和近似策略可能会使反问题近似的性质恶化。然后,我们在简化和逼真的二维躯干模型上展示了我们的策略的有效性。

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