Regularization techniques for ECG imaging during atrial fibrillation: a computational study

C Figuera, V Suárez-Gutiérrez… - Frontiers in …, 2016 - frontiersin.org
… However, the performance of the regularization methods under fibrillatory conditions has …
studied. In this work, we assessed different regularization techniques during atrial fibrillation (AF…

Electrocardiographic imaging for atrial fibrillation: a perspective from computer models and animal experiments to clinical value

J Salinet, R Molero, FS Schlindwein, J Karel… - Frontiers in …, 2021 - frontiersin.org
at assessing the performance of regularization methods for reconstruction of atrial potentials
during … Additionally, as mentioned in the introduction, computational studies suggest that …

… -invasive and quantitative estimation of left atrial fibrosis based on P waves of the 12-Lead ECG—a large-scale computational study covering anatomical variability

C Nagel, G Luongo, L Azzolin, S Schuler… - Journal of Clinical …, 2021 - mdpi.com
atrial cardiomyopathy to stratify atrial fibrillation propensity. In this work, we realized 54,000
combinations of different atria and … Bayesian regularization served as a training algorithm to …

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

Y Hagiwara, H Fujita, SL Oh, JH Tan, R San Tan… - Information …, 2018 - Elsevier
… This review paper explores the different techniques and approaches available to automatically
and accurately detect AF ECG signals. Presently, there are many existing works that uses …

A reduced complexity ECG imaging model for regularized inversion optimization

M Manche, K El Houari, A Kachenoura, L Albera… - … in Biology and Medicine, 2023 - Elsevier
method is based on the prediction of the observations arbitrarily excluded in the computation
of regularized … Finally, the performance of Tikhonov-based regularization methods to solve …

Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning

A Mjahad, A Rosado-Muñoz… - Computer methods and …, 2017 - Elsevier
… of the ECG records used in this study are the MIT-BIH Malignant Ventricular Fibrillation 1 and
ECG signal while the second stage takes care of computing time window reference marks. …

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

A Lyon, A Mincholé, JP Martínez… - Journal of The …, 2018 - royalsocietypublishing.org
analysis of medical data, especially ECG data. This review describes the computational
methods in use for ECG analysis, … in the ECG and their correlation with atrial fibrillation dynamics …

Convex optimization and statistical learning for non-invasive electrical cardiac activity estimation in atrial fibrillation

MÁ Cámara Vázquez - 2021 - burjcdigital.urjc.es
… de electrocardiografía (Electrocardiographic Imaging, ECGI) para … constraint on the Tikh
regularization method. The proposed … the computational cost by using an iterative regularization

Electrocardiographic imaging in the atria

I Hernandez-Romero, R Molero… - … & computing, 2023 - Springer
… the various ECGI methodologies, regularization methods, and post-processing techniques
used in the atria, as well as … Atrial fibrillation is the most common type of arrhythmia, with an …

ECG imaging to detect the site of ventricular ischemia using torso electrodes: a computational study

V Kara, H Ni, EA Perez Alday, H Zhang - Frontiers in physiology, 2019 - frontiersin.org
… The main findings of this study are that regardless of regularisation technique at least 128
leads are required to reconstruct the ischemic lesion to a level where a location could be …