Computer Assisted Localization of a Heart Arrhythmia

Autor:	Vogl, Chris, Zheng, Peng, Seslar, Stephen P., Aravkin, Aleksandr Y.
Rok vydání:	2018
Předmět:	Quantitative Biology - Tissues and Organs Mathematics - Optimization and Control Statistics - Machine Learning 92C50 92-08 65R32 90C30
Druh dokumentu:	Working Paper
Popis:	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. Comment: 4 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1807.03091 Zobrazit plný text záznamu View this record from Arxiv