Key result
The proposed equivalent single layer approach provided more accurate solutions for reconstructing cardiac electrical activity on the ventricular endocardium compared to conventional potential-based solutions.
Why the study?
Reconstructing electrical potentials on both epicardial and endocardial heart surfaces with acceptable accuracy remains challenging in solving the inverse problem of electrocardiography.
Does an equivalent single layer density source model improve the accuracy of endocardial electrical potential reconstruction in ECGI compared to conventional potential-based solutions?
Does an equivalent single layer density source model improve the accuracy of endocardial electrical potential reconstruction in ECGI compared to conventional potential-based solutions?
A novel numerical approach using an equivalent single layer density source model improves the accuracy of non-invasive reconstruction of cardiac electrical activity on the ventricular endocardium in-silico.
Answers are grounded in this paper and cite their sources.
Requires prospective human validation before clinical use; extends in-silico evidence for equivalent single layer ECGI modeling.
The inverse problem of electrocardiography consists in reconstructing cardiac electrical activity from given body surface electrocardiographic measurements. Despite tremendous progress in the field over the last decades, the solution of this problem in terms of electrical potentials on both epi- and the endocardial heart surfaces with acceptable accuracy remains challenging. This paper presents a novel numerical approach aimed at improving the solution quality on the endocardium. Our method exploits the solution representation in the form of electrical single layer densities on the myocardial surface. We demonstrate that this representation brings twofold benefits: first, the inverse problem can be solved for the physiologically meaningful single layer densities. Secondly, a conventional transfer matrix for electrical potentials can be split into two parts, one of which turned out to posess regularizing properties leading to improved endocardial reconstructions. The method was tested in-silico for ventricular pacings utilizing realistic CT-based heart and torso geometries. The proposed approach provided more accurate solution on the ventricular endocardium compared to the conventional potential-based solutions with Tikhonov regularization of the 0{th}, 1{st} and 2{nd} orders. Furthermore, we show a uniform spatio-temporal behavior of the single layer densities over the heart surface, which could be conveniently employed in the regularization procedure.
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Калинин et al. (2019) studied Cardiac electrical activity (in-silico modeling) (n=3). Equivalent single layer (ESL) approach vs. Conventional potential-based solutions with Tikhonov regularization was evaluated on Accuracy of the inverse solutions (relative error and correlation coefficient) on the ventricular endocardium. The proposed equivalent single layer approach provided more accurate solutions for reconstructing cardiac electrical activity on the ventricular endocardium compared to conventional potential-based solutions.
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