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Maria S Guillem

Assistant Professor

Universitat Politècnica de València

Spain

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Research Interests

Cardiology

100%

Medical Imaging

100%

Cardiac Imaging

100%

Electrophysiology

90%

Arrhythmia

70%

Biosignal Processing

30%

Waveform Analysis

20%

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Articles14

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

Article Link

Year:

2025

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

Article Link

Year:

2024

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

Article Link

Year:

2024

Standardized 2D atrial mapping and its clinical applications

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Year:

2024

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

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Year:

2023

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

Article Link

Year:

2022

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

Article Link

Year:

2022

Electrocardiographic imaging in the atria

Article Link

Year:

2022

Identification of atrial fibrillation drivers by means of concentric ring electrodes

Article Link

Year:

2022

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

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Year:

2021

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

Article Link

Year:

2021

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

Article Link

Year:

2021

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

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Year:

2021

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

Article Link

Year:

2021

Collaborators10

Joël Karel

University of Maastricht

NETHERLANDS

Fernando Soares Schlindwein

Reader

University of Leicester

UNITED KINGDOM

Tiantian Wang

University of Maastricht

NETHERLANDS

Pietro Bonizzi

University of Maastricht

NETHERLANDS

Lluís Mont

Full Professor/Chair

University of Barcelona

SPAIN

Ralf L. M. Peeters

University of Maastricht

NETHERLANDS

Alejandro Liberos

Professor ajudant doctor

University of Valencia

SPAIN

Gema Prats-Boluda

Profesora Titular de Universidad

Universitat Politècnica de València

SPAIN

Eduardo Morgado

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

Universidad Rey Juan Carlos - Campus de Fuenlabrada

SPAIN

Juan Pablo Martínez

Profesor Titular

Universidad de Zaragoza

SPAIN

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