Computer Assisted Localization of a Heart Arrhythmia

2018/07/09 by Vogl, Chris, Zheng, Peng, Seslar, Stephen P. +1
#65R32 #90C30 #92-08 #92C50 #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Tissues and Organs (q-bio.TO)

paper · doi:10.48550/arxiv.1807.03091

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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