Arquivos Brasileiros de Cardiologia, 2023 Resumo Fundamento A influência do volume do apêndice atrial esquerdo (VAAE) na recorrência de fibrilação atrial (FA) após ablação por cateter de radiofrequência permanece obscura.
Zhenghao Liu +7 more
semanticscholar +1 more source
Reduced-order models of wall shear stress patterns in the left atrial appendage from a data-augmented atrial database [PDF]
Appl. Math. Model.(2024),130:713-727, 2023 Background: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, affecting over 1% of the population. It is usually triggered by irregular electrical impulses that cause the atria to contract irregularly and ineffectively. It increases blood stasis and the risk of thrombus formation within the left atrial appendage (LAA) and ...
arxiv +1 more source
Avaliação da estimulaçao DDD com sobre-estimulação atrial dinâmica quanto a prevenção de fibrilaçao atrial paraxística em pacientes com doença do nódulo sinusal [PDF]
, 2006 Bacco, Mateus de +4 more
core +1 more source
Patient-Specific Heart Model Towards Atrial Fibrillation [PDF]
ICCPS 2021: Proceedings of the ACM/IEEE 12th International
Conference on Cyber-Physical Systems, 2022 Atrial fibrillation is a heart rhythm disorder that affects tens of millions people worldwide. The most effective treatment is catheter ablation. This involves irreversible heating of abnormal cardiac tissue facilitated by electroanatomical mapping.
arxiv +1 more source
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets [PDF]
arXiv, 2021 Automated and accurate segmentations of left atrium (LA) and atrial scars from late gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand for quantifying atrial scars. The previous quantification of atrial scars relies on a two-phase segmentation for LA and atrial scars due to their large volume difference (unbalanced ...
arxiv
Journal of Cardiac Arrhythmias, 2010 A Fibrilaçao Atrial é a forma mais comum de alteraçao do ritmo cardíaco, que afeta aproximadamente 2,3 milhoes de pessoas na América do Norte e 4,5 milhoes na Uniao Européia. Muitos estudos demonstraram a presença de Hipertensao Arterial em pacientes que
Elibet Chávez González +2 more
doaj +4 more sources
Atrial Fibrillation Detection Using RR-Intervals for Application in Photoplethysmographs [PDF]
arXiv, 2023 Atrial Fibrillation is a common form of irregular heart rhythm that can be very dangerous. Our primary goal is to analyze Atrial Fibrillation data within ECGs to develop a model based only on RR-Intervals, or the length between heart-beats, to create a real time classification model for Atrial Fibrillation to be implemented in common heart-rate ...
arxiv
ABORDANDO A FIBRILAÇÃO ATRIAL: DESAFIOS E ESTRATÉGIAS PARA O TRATAMENTO E PREVENÇÃO
Periódicos Brasil. Pesquisa CientíficaA fibrilação atrial (FA) é uma arritmia cardíaca comum, associada a um aumento do risco de acidente vascular cerebral (AVC), insuficiência cardíaca e mortalidade.
Mauro Alexandre Caixeta +11 more
semanticscholar +2 more sources
The Impact of Standard Ablation Strategies for Atrial Fibrillation on Cardiovascular Performance in a Four-chamber Heart Model [PDF]
arXiv, 2022 Atrial fibrillation is one of the most frequent cardiac arrhythmias in the industrialized world and ablation therapy is the method of choice for many patients. However, ablation scars alter the electrophysiological activation and the mechanical behavior of the affected atria.
arxiv
Multi-Task Learning for Left Atrial Segmentation on GE-MRI [PDF]
Statistical Atlases and Computational Models of the Heart. Atrial
Segmentation and LV Quantification Challenges, 9th International Workshop,
STACOM 2018, pp.292-301, 2018 Segmentation of the left atrium (LA) is crucial for assessing its anatomy in both pre-operative atrial fibrillation (AF) ablation planning and post-operative follow-up studies. In this paper, we present a fully automated framework for left atrial segmentation in gadolinium-enhanced magnetic resonance images (GE-MRI) based on deep learning. We propose a
arxiv +1 more source