A Patient-Specific Single Equivalent Dipole Model

Gabriel Cardoso, Genevieve Robin, Andony Arrieula, Mark Potse, Michel Haissaguerre, Eric Moulines, Remi Dubois

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sophisticated models for the electrocardiographic inverse problem are available, but their reliance on imaging data and large numbers of electrodes limit their use. Simple models such as the single equivalent dipole model (SEDM) therefore remain relevant. We developed a probabilistic approach to the equivalent unbounded uniform single dipole problem and developed a natural extension to the bounded nonuniform case that relies on a patient-specific statistical inference of the propagation mechanism between the location of the dipole and the electrode locations. The two models were tested on data simulated with a detailed heart-torso model with four different activation sequences and three different sets of tissue characteristics. We observed a throughout enhancement of the ability to reconstruct the ECG of the patient-specific model when compared to the uniform unbounded dipole model.

Original languageEnglish
Title of host publication2022 Computing in Cardiology, CinC 2022
PublisherIEEE Computer Society
ISBN (Electronic)9798350300970
DOIs
Publication statusPublished - 1 Jan 2022
Event2022 Computing in Cardiology, CinC 2022 - Tampere, Finland
Duration: 4 Sept 20227 Sept 2022

Publication series

NameComputing in Cardiology
Volume2022-September
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference2022 Computing in Cardiology, CinC 2022
Country/TerritoryFinland
CityTampere
Period4/09/227/09/22

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