ORIGINAL RESEARCH article

Front. Physiol.

Sec. Cardiac Electrophysiology

Volume 16 - 2025 | doi: 10.3389/fphys.2025.1560527

Impact of Rigid Cardiac Motion on the Accuracy of Electrocardiographic imaging

Provisionally accepted
Xiafeng  ZhangXiafeng ZhangKaiyu  chenKaiyu chenYucheng  WangYucheng WangWei  LiWei LiTingcun  WeiTingcun WeiShaoxi  WangShaoxi Wang*
  • Northwestern Polytechnical University, Xi'an, China

The final, formatted version of the article will be published soon.

Electrocardiographic Imaging (ECGI) offers a non-invasive approach to reconstruct cardiac electrical activity. However, the inverse problem of ECGI is highly ill-conditioned, making it sensitive to errors. In practice, rigid displacements of the heart during beating introduce geometric errors into the ECGI problem. This study aims to investigate the impact of cardiac rigid motion on the accuracy of ECGI. We employed the Boundary Element Method (BEM) to solve the forward problem and the Tikhonov method to address the inverse problem. We utilized a dataset from the CRVTI/SCI Institute, which involves Langendorff-perfused dog hearts suspended in a torso-shaped tank. Based on clinical experience, six different types of cardiac movement patterns, including translations and rotations, were designed to assess the impact of various displacements on the accuracy of the ECGI solution. Our study found that among the translational and rotational movements of the heart, rotational motion should be prioritized for attention, as it caused significantly stronger changes in ECGI correlation coefficient (CC) and relative error (RE) than translational motion. Among the translations along the coordinate axes, movement along the y-axis (anterior-posterior movement within the chest cavity) had the least impact. For rotational movements, rolling had the least impact, yaw had moderate impact, and pitch had the greatest impact. The inverse solution of ECGI demonstrates a certain robustness to changes in heart position, with CC changes of less than 2% for 10mm displacements and less than 5% for 10°rotations. This suggests that ECGI changes due to cardiac geometric motion can be disregarded within a certain range.

Keywords: Electrocardiographic imaging (ECGI), cardiac rigid motion, translation, Rotation, Inverse solution

Received: 14 Jan 2025; Accepted: 29 Apr 2025.

Copyright: © 2025 Zhang, chen, Wang, Li, Wei and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Shaoxi Wang, Northwestern Polytechnical University, Xi'an, China

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