{rfName}
A

Altmetrics

Analysis of institutional authors

Melgarejo-Meseguer F-MCorresponding AuthorMartinez-Mateu LAuthorMunoz-Romero SAuthorRojo-Alvarez J-LAuthor

Share

November 8, 2023
Publications
>
Proceedings Paper
No

A Convex Optimized Estimator of the Laplacian Operator for Bioelectric Simulations

Publicated to: 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023. - 2023-01-01 (), DOI: 10.23919/URSIGASS57860.2023.10265423

Authors:

Melgarejo-Meseguer F-M; Martinez-Mateu L; Munoz-Romero S; Gimeno-Blanes F-J; Garcia-Alberola A; Rojo-Alvarez J-L
[+]

Affiliations

D!lemmaLab Ltd Startup, Madrid, Spain, Universidad Miguel Hernández, Departamento de Ingeniería de Comunicaciones, Elche, Spain - Author
Hospital Clínico Universitario Virgen de la Arrixaca - Imib, Unidad de Arritmias, Murcia, Spain - Author
Universidad Rey Juan Carlos, Departamento de Teoria de la Senal y Comunicaciones y Sistemas Telematicos y Computacion, Madrid, Spain - Author
Universidad Rey Juan Carlos, Departamento de Teoria de la Senal y Comunicaciones y Sistemas Telematicos y Computacion, Madrid, Spain, D!lemmaLab Ltd Startup, Madrid, Spain - Author
See more

Abstract

Simulations of bioelectric potentials in the direct problem usually require numerical integration in the spatial dimensions to obtain both the transmembrane current diffusion and the extracellular potentials in homogeneous conductivity conditions. Given that the Laplacian of a potential field in said conditions is a spatially linear operator, we propose its implementation with non-uniformly spaced point clouds using a static-matrix formulation which avoids the integration in the spatial domain. We also analyzed the effect of severe irregular sampling in these calculations. Matrix estimators in the 3-dimensional space were built for the Laplacian operator in point clouds defining lines and surfaces. An optimized algorithm was proposed, in which the spatial convolution of the Laplacian impulse response is locally and globally estimated using convex programming techniques, sparse matrix representations, and basic concepts of Graph Theory. We benchmarked the behavior of the estimated synthetic transmembrane and extracellular potentials with simple geometrical substrates. Our proposal paves the way towards simplifying spatial evolution in computer simulations and its use in more clinically realistic environments, such as non-homogeneous conductivity in volume conductor problems and patient-based arrhythmia simulations from point clouds in Electrophysiology Laboratory. © 2023 International Union of Radio Science.
[+]

Keywords

Bio-electricsConditionConvex optimizationDirect problemsElectroencephalographyElectrophysiologyExtracellular potentialGraph theoryImpulse responseLaplace equationLaplace transformsLaplacian operatorLaplaciansMathematical operatorsMatrix algebraMedical computingNumerical integrationsPoint-cloudsSpatial dimensionTransmembrane currents

Quality index

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).
[+]

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Melgarejo Meseguer, Francisco Manuel) and Last Author (Rojo Álvarez, José Luis).

the author responsible for correspondence tasks has been Melgarejo Meseguer, Francisco Manuel.

[+]

Project objectives

Los objetivos perseguidos en esta aportación se centran en mejorar la simulación de potenciales bioeléctricos mediante métodos numéricos avanzados. Se pretende analizar la implementación del operador Laplaciano en nubes de puntos no uniformemente espaciadas mediante una formulación matricial estática que evite la integración espacial. Evaluar el efecto del muestreo irregular severo en los cálculos del operador Laplaciano. Construir estimadores matriciales tridimensionales para líneas y superficies en nubes de puntos. Proponer un algoritmo optimizado que utilice programación convexa, representaciones dispersas de matrices y teoría de grafos para estimar local y globalmente la convolución espacial de la respuesta impulso del Laplaciano. Finalmente, validar el comportamiento de los potenciales transmembrana y extracelulares sintéticos en sustratos geométricos simples, con vistas a aplicaciones clínicas más realistas.
[+]

Most relevant results

El estudio presenta una nueva implementación del operador Laplaciano para simulaciones bioeléctricas en nubes de puntos no uniformes mediante una formulación matricial estática que evita la integración espacial. Se construyeron estimadores matriciales en 3D para líneas y superficies, evaluando el impacto del muestreo irregular severo. Se propuso un algoritmo optimizado que estima local y globalmente la convolución espacial de la respuesta al impulso del Laplaciano usando programación convexa, representaciones dispersas y teoría de grafos. Se validó el comportamiento de los potenciales transmembrana y extracelulares sintéticos con sustratos geométricos simples, demostrando su aplicabilidad para simulaciones clínicas más realistas, incluyendo conductividad no homogénea y arritmias basadas en datos de laboratorio de electrofisiología.
[+]