Numerical Investigation of Methods Used In Commercial Clinical Devices for Solving the ECGI Inverse Problem
Language
en
Document de travail - Pré-publication
English Abstract
Electrocardiographic Imaging (ECGI) is a promising tool to non-invasively map the electrical activity of the heart using body surface potentials (BSPs) combined with the patient specific anatomical data. In this work, we ...Read more >
Electrocardiographic Imaging (ECGI) is a promising tool to non-invasively map the electrical activity of the heart using body surface potentials (BSPs) combined with the patient specific anatomical data. In this work, we assess two ECGI algorithms used in commercial ECGI systems to solve the inverse problem; the Method of Fundamental Solutions (MFS) and the Equivalent Single Layer (ESL). We quantify the performance of these two methods in conjunction with two different activation maps to estimate the activation times and earliest activation sites. ESL provided more accurate reconstruction of the cardiac electrical activity, especially on the endocardial part of the heart. Nevertheless, both methods provided comparable results in terms of the derived activation maps and the localization of the focal origin as a clinically relevant parameter.Read less <
English Keywords
Inverse problem
Electrocardiography
Equivalent Single Layer
Method of Fundamental Solutions
European Project
Personalized Therapies for Atrial Fibrillation. A Translational Approach
ANR Project
L'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
Plateforme multi-modale d'exploration en cardiologie - ANR-11-EQPX-0030
Plateforme multi-modale d'exploration en cardiologie - ANR-11-EQPX-0030
Origin
Hal imported