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Computer Assisted Localization of a Heart Arrhythmia

Chris Vogl, Peng Zheng, Stephen P. Seslar, Aleksandr Y. Aravkin
doi: https://doi.org/10.1101/365932
Chris Vogl
1Lawrence Livermore National Laboratory
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Peng Zheng
2Department of Applied Mathematics at the University of Washington
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Stephen P. Seslar
3Seattle Children’s Pediatric Hospital and the University of Washington
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Aleksandr Y. Aravkin
2Department of Applied Mathematics at the University of Washington
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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.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 10, 2018.
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Computer Assisted Localization of a Heart Arrhythmia
Chris Vogl, Peng Zheng, Stephen P. Seslar, Aleksandr Y. Aravkin
bioRxiv 365932; doi: https://doi.org/10.1101/365932
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Computer Assisted Localization of a Heart Arrhythmia
Chris Vogl, Peng Zheng, Stephen P. Seslar, Aleksandr Y. Aravkin
bioRxiv 365932; doi: https://doi.org/10.1101/365932

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