Results 11 to 20 of about 850 (161)
A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations [PDF]
Medical Image Analysis, Volume 74, 2021, 2021 Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the potential to produce extensive datasets for training of machine learning classifiers to, e.g., discriminate between different cardiac pathologies. The adoption of simulations for these purposes is limited due to a lack of ready-to-use models covering atrial ...
arxiv +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
Medwave, 2016 Resumen En este capítulo comenzamos analizando la cirugía de revascularización miocárdica y su complicación más frecuente, la fibrilación atrial postoperatoria.
Amro Qaddoura, Adrian Baranchuk
doaj +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
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
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
Arquivos Brasileiros de Cardiologia, 2009 FUNDAMENTO: A prevalência da fibrilação atrial, os gastos com o sistema de saúde e a elevada morbidade e mortalidade associadas a ela, têm justificado a procura por novas abordagens terapêuticas. OBJETIVO: Avaliar a reprodutibilidade da técnica cirúrgica,
Alexandre Siciliano Colafranceschi +9 more
doaj +1 more source
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification [PDF]
arXiv, 2021 Computational models of atrial fibrillation have successfully been used to predict optimal ablation sites. A critical step to assess the effect of an ablation pattern is to pace the model from different, potentially random, locations to determine whether arrhythmias can be induced in the atria.
arxiv