Results 71 to 80 of about 19,857 (109)
Scientifica, 2014 Atrial fibrillation is the most common arrhythmia and accounts for one-third of hospitalizations for rhythm disorders in the United States. The prevalence of atrial fibrillation averages 1% and increases with age.
Meena P. Rao +2 more
doaj +1 more source
Geometric analysis on the unidirectionality of the pulmonary veins for atrial reentry [PDF]
arXiv, 2013 It is widely believed that the pulmonary veins (PVs) of the atrium play the central role in the generation of atrial reentry leading to atrial fibrillation, but its mechanism has not been analytically explained. In order to improve the current clinical procedures for atrial reentry by understanding its mechanism, geometrical analysis is proposed on the
arxiv
Scandinavian Journal of Primary Health Care, 2019 Objective: To describe the incidence of incorrect computerized ECG interpretations of atrial fibrillation or atrial flutter in a Swedish primary care population, the rate of correction of computer misinterpretations, and the consequences of misdiagnosis.
Thomas Lindow +4 more
doaj +1 more source
Integrating Deep Learning in Cardiology: A Comprehensive Review of Atrial Fibrillation, Left Atrial Scar Segmentation, and the Frontiers of State-of-the-Art Techniques [PDF]
arXivAtrial fibrillation (AFib) is the prominent cardiac arrhythmia in the world. It affects mostly the elderly population, with potential consequences such as stroke and heart failure in the absence of necessary treatments as soon as possible. The importance of atrial scarring in the development and progression of AFib has gained recognition, positioning ...
arxiv
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation [PDF]
arXivAtrial fibrillation is a commonly encountered clinical arrhythmia associated with stroke and increased mortality. Since professional medical knowledge is required for annotation, exploiting a large corpus of ECGs to develop accurate supervised learning-based atrial fibrillation algorithms remains challenging.
arxiv
Benchmarks of ResNet Architecture for Atrial Fibrillation Classification [PDF]
arXiv, 2018 In this work we apply variations of ResNet architecture to the task of atrial fibrillation classification. Variations differ in number of filter after first convolution, ResNet block layout, number of filters in block convolutions and number of ResNet blocks between downsampling operations. We have found a range of model size in which models with quite
arxiv
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning [PDF]
arXiv, 2018 We develop an algorithm that accurately detects Atrial Fibrillation (AF) episodes from photoplethysmograms (PPG) recorded in ambulatory free-living conditions. We collect and annotate a dataset containing more than 4000 hours of PPG recorded from a wrist-worn device.
arxiv
CJC Open, 2021 Background: Satisfaction with treatment has been identified as an important contributing factor to adherence with oral anticoagulant (OAC) therapy in patients with atrial fibrillation (AF).
Shahrzad Salmasi, Msc +8 more
doaj
Energy landscape analysis of cardiac fibrillation wave dynamics using pairwise maximum entropy model [PDF]
arXiv, 2018 Cardiac fibrillation is characterized by chaotic and disintegrated spiral wave dynamics patterns, whereas sinus rhythm shows synchronized excitation patterns. To determine functional correlations among cardiomyocytes during complex fibrillation states, we applied a pairwise maximum entropy model (MEM) to the 2D numerical simulation data of human atrial
arxiv
SAGE Open MedicineObjectives: To evaluate the correlation of oxidative stress and vascular endothelial dysfunction with hippocampal perfusion in patients with atrial fibrillation and cognitive impairment.
Hong hong Ke +5 more
doaj +1 more source