Maria S Guillem

Assistant Professor

Universitat Politècnica de València

Spain

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About

Maria S Guillem is an Assistant Professor at Universidad Politécnica de Valencia, Spain. Her research focuses on cardiac digital twin technology, electrocardiographic imaging, and the estimation of atrial fibrillation driver positions. She has authored several recent articles exploring advancements in non-invasive calibration techniques and optimization strategies for improved patient outcomes in cardiology.

Articles (14)

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (10)

Joël Karel

University of Maastricht

NETHERLANDS

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Fernando Soares Schlindwein

Reader

University of Leicester

UNITED KINGDOM

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Tiantian Wang

University of Maastricht

NETHERLANDS

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Pietro Bonizzi

University of Maastricht

NETHERLANDS

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Lluís Mont

Full Professor/Chair

University of Barcelona

SPAIN

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Ralf L. M. Peeters

University of Maastricht

NETHERLANDS

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Alejandro Liberos

Professor ajudant doctor

University of Valencia

SPAIN

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Gema Prats-Boluda

Profesora Titular de Universidad

Universitat Politècnica de València

SPAIN

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Eduardo Morgado

Associate Professor (Signal Theory and Comms.) (civil servant)

Universidad Rey Juan Carlos - Campus de Fuenlabrada

SPAIN

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Juan Pablo Martínez

Profesor Titular

Universidad de Zaragoza

SPAIN

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Maria S Guillem

Research Interests

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Articles (14)

DYNAMO Framework: Advancing non-invasive, rapid calibration in cardiac digital twin technology

Improving electrocardiographic imaging solutions: A comprehensive study on regularization parameter selection in L-curve optimization in the Atria

Non-invasive estimation of atrial fibrillation driver position using long-short term memory neural networks and body surface potentials

Standardized 2D atrial mapping and its clinical applications

Filtering strategies of electrocardiographic imaging signals for stratification of atrial fibrillation patients

Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays

Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation

Electrocardiographic imaging in the atria

Identification of atrial fibrillation drivers by means of concentric ring electrodes

Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value

Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation

Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation

Non-invasive Estimation of Atrial Fibrillation Driver Position With Convolutional Neural Networks and Body Surface Potentials

Optimized single-point left ventricular pacing leads to improved resynchronization compared with multipoint pacing

Collaborators (10)

Joël Karel

Fernando Soares Schlindwein

Tiantian Wang

Pietro Bonizzi

Lluís Mont

Ralf L. M. Peeters

Alejandro Liberos

Gema Prats-Boluda

Eduardo Morgado

Juan Pablo Martínez

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