论文标题

ECG不匹配计算的成本功能的平稳性和连续性

Smoothness and continuity of cost functionals for ECG mismatch computation

论文作者

Grandits, Thomas, Pezzuto, Simone, Plank, Gernot

论文摘要

心脏电生理学领域试图抽象,描述并最终建模心跳的电特征。随着心脏电生理学的最新进展,模型一如既往地变得更加强大和描述性。但是,要迈向电生理模型的逆向领域,即从诸如ECG之类的电测量值创建模型,较少研究的模拟ECGS W.R.T.的平滑度较少。需要进一步探索模型参数。本文通过整个管道来讨论平滑度,该管道描述了从生理参数中,我们到达模拟的ECG。使用这样的管道,我们创建了一个简化理想化的左心室模型的测试台,并通过平滑的成本功能展示了有效逆建模的最重要因素。这些知识对于在未来的优化和机器学习方法中设计和创建逆模型将很重要。

The field of cardiac electrophysiology tries to abstract, describe and finally model the electrical characteristics of a heartbeat. With recent advances in cardiac electrophysiology, models have become more powerful and descriptive as ever. However, to advance to the field of inverse electrophysiological modeling, i.e. creating models from electrical measurements such as the ECG, the less investigated field of smoothness of the simulated ECGs w.r.t. model parameters need to be further explored. The present paper discusses smoothness in terms of the whole pipeline which describes how from physiological parameters, we arrive at the simulated ECG. Employing such a pipeline, we create a test-bench of a simplified idealized left ventricle model and demonstrate the most important factors for efficient inverse modeling through smooth cost functionals. Such knowledge will be important for designing and creating inverse models in future optimization and machine learning methods.

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