Solving the ECGI problem with known locations of scar regions

Diallo, Mohamadou Malal; Potse, Mark; Dubois, Rémi; Coudière, Yves

doi:10.22489/cinc.2020.237

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…It will be interesting to apply the VM to experimental or clinical data. It is also important to apply the VM method on more datasets with scars, as tested in a preliminary work [2]. At last, it would be interesting to study more regularization parameter chose for the VM method.…”

Section: Discussionmentioning

confidence: 99%

A Volume Source Method for Solving ECGI Inverse Problem

Diallo

Coudière

Dubois

2021

Functional Imaging and Modeling of the Heart

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Electrocardiographic Imaging (ECGI) is a non-invasive procedure that allows to reconstruct the electrical activity of the heart from body surface potential map (BSPM). In this paper, we present a volume model to solve the electrocardiography inverse problem capable to take into account structural informations obtained by imaging techniques. The direct problem maps a volume current in the cardiac muscle (ventricles) to the body surface electrical measures. The model is based on coupling bidomain heart model with torso conduction. The corresponding inverse problem is solved with the Tikhonov regularization. Simulated database are used for the evaluation of this method and we compared them to standard method of fundamental solutions (MFS). The sensitivity to noise is also assessed. The correlation coefficients (CC) and the relative error (RE) of activation times were computed. Results show that the CC (respectively RE) median is respectively 0.75 for the volume model and 0.4 for the MFS (respectively 0.31 vs 0.35) on the epicardium. On the endocardium, the CC and the RE median are 0.65 and 0.33 for the volume method. In conclusion, the volume method performs better than the method of fundamental solutions (MFS) for any noise level, and reconstruct in addition endocardial information.

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Section: Discussionmentioning

confidence: 99%

A Volume Source Method for Solving ECGI Inverse Problem

Diallo

Coudière

Dubois

2021

Functional Imaging and Modeling of the Heart

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Electrocardiographic imaging in the atria

Hernández-Romero

Molero

Fambuena-Santos

et al. 2022

Med Biol Eng Comput

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The inverse problem of electrocardiography or electrocardiographic imaging (ECGI) is a technique for reconstructing electrical information about cardiac surfaces from noninvasive or non-contact recordings. ECGI has been used to characterize atrial and ventricular arrhythmias. Although it is a technology with years of progress, its development to characterize atrial arrhythmias is challenging. Complications can arise when trying to describe the atrial mechanisms that lead to abnormal propagation patterns, premature or tachycardic beats, and reentrant arrhythmias. This review addresses the various ECGI methodologies, regularization methods, and post-processing techniques used in the atria, as well as the context in which they are used. The current advantages and limitations of ECGI in the fields of research and clinical diagnosis of atrial arrhythmias are outlined. In addition, areas where ECGI efforts should be concentrated to address the associated unsatisfied needs from the atrial perspective are discussed. Graphical abstract

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Solving the ECGI problem with known locations of scar regions

Cited by 2 publications

References 4 publications

A Volume Source Method for Solving ECGI Inverse Problem

A Volume Source Method for Solving ECGI Inverse Problem

Electrocardiographic imaging in the atria

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