Results 61 to 70 of about 397,934 (398)
JAMA Network Open, 2018 This cohort study uses Taiwan National Health Insurance database data to evaluate the incidence of ischemic stroke, hospitalization for heart failure, and all-cause mortality among patients with atrial fibrillation and atrial flutter stratified by ...
Yu-Sheng Lin +7 more
semanticscholar +1 more source
Journal of Arrhythmia, 2005 We studied the modes of initiation of two types of atria] reentrant tachycardias (i.e., microreentry isthmus tachycardia and counterclockwise atrial flutter) in a 39-year-old male with typical atrial flutter.
Makoto Noda, MD +5 more
doaj +1 more source
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram [PDF]
arXiv, 2022 Atrial fibrillation (AF) is the most prevalent heart arrhythmia. AF manifests on the electrocardiogram (ECG) though irregular beat-to-beat time interval variation, the absence of P-wave and the presence of fibrillatory waves (f-wave). We hypothesize that a deep learning (DL) approach trained on the raw ECG will enable robust detection of AF events and ...
arxiv
Intravenous Dofetilide, a Class III Antiarrhythmic Agent, for the Termination of Sustained Atrial Fibrillation or Flutter [PDF]
, 1997 Objectives. This study sought to determine the safety and efficacy of a single bolus of intravenous dofetilide, a pure class III antiarrhythmic agent, for the termination of sustained atrial fibrillation or flutter.Background.
Falk, Rodney H. +3 more
core +1 more source
Mutation update for the ACTN2 gene
Human Mutation, Volume 43, Issue 12, Page 1745-1756, December 2022., 2022 Abstract ACTN2 encodes alpha‐actinin‐2, a protein expressed in human cardiac and skeletal muscle. The protein, located in the sarcomere Z‐disk, functions as a link between the anti‐parallel actin filaments. This important structural protein also binds N‐terminal titins, and thus contributes to sarcomere stability.
Johanna Ranta‐aho +13 more
wiley +1 more source
Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes [PDF]
arXiv, 2022 To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning (DL) algorithms across various distribution shifts to ensure that these algorithms are robust.
arxiv
Characterisation of atrial flutter variants based on the analysis of spatial vectorcardiographic trajectory from standard ECG [PDF]
, 2020 After atrial fibrillation, atrial flutter is the most common atrial tachyarrhythmia. Its diagnosis relies on the twelve lead electrocadriogram analysis of the distinctive waves in several leads.
Ruipérez Campillo, Samuel
core
Cardiovascular Electrophysiology, 2019 This study evaluated the impact of daily ECG (electrocardiogram) self‐recordings on time to documented recurrent atrial fibrillation (AF) or atrial flutter (AFL) and time to treatment of recurrent arrhythmia in patients undergoing catheter radiofrequency
Isaac L Goldenthal +11 more
semanticscholar +1 more source
The incidence and risk factors for new onset atrial fibrillation in the PROSPER study [PDF]
, 2011 Aims Atrial fibrillation/flutter (AF) is the most common arrhythmia in older people. It associates with reduced exercise capacity, increased risk of stroke, and mortality. We aimed to determine retrospectively whether pravastatin reduces the incidence of
B. Buckley +20 more
core +1 more source
International journal of clinical practice, 2018 The aim of this study was to study the risk of death and development of arrhythmia and/or subsequently heart failure after an atrial flutter ablation procedure compared with an atrial fibrillation (AF) ablation procedure.
F. Skjøth +5 more
semanticscholar +1 more source