English

Computer Assisted Localization of a Heart Arrhythmia

Tissues and Organs 2018-07-10 v1 Optimization and Control Machine Learning

Abstract

We consider the problem of locating a point-source heart arrhythmia using data from a standard diagnostic procedure, where a reference catheter is placed in the heart, and arrival times from a second diagnostic catheter are recorded as the diagnostic catheter moves around within the heart. We model this situation as a nonconvex feasibility problem, where given a set of arrival times, we look for a source location that is consistent with the available data. We develop a new optimization approach and fast algorithm to obtain online proposals for the next location to suggest to the operator as she collects data. We validate the procedure using a Monte Carlo simulation based on patients' electrophysiological data. The proposed procedure robustly and quickly locates the source of arrhythmias without any prior knowledge of heart anatomy.

Keywords

Cite

@article{arxiv.1807.03091,
  title  = {Computer Assisted Localization of a Heart Arrhythmia},
  author = {Chris Vogl and Peng Zheng and Stephen P. Seslar and Aleksandr Y. Aravkin},
  journal= {arXiv preprint arXiv:1807.03091},
  year   = {2018}
}

Comments

4 pages, 5 figures

R2 v1 2026-06-23T02:54:50.728Z