文章基本信息

标题：Smoothness and continuity of cost functionals for ECG mismatch computation
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作者：Thomas Grandits ; Simone Pezzuto ; Gernot Plank 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：20
页码：181-186
DOI：10.1016/j.ifacol.2022.09.092
语种：English
出版社：Elsevier
摘要：AbstractThe 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.
关键词：KeywordsECGCardiac modelingPhysiologyParameter estimationInverse problemsSmoothness