Objectives The purpose of this study was to determine whether incorporation of a 2-part
artificial intelligence (AI) filter can improve the positive predictive value (PPV) of implantable …

Abstract Aims Implantable loop recorders (ILRs) with specific atrial fibrillation (AF) detection
algorithms (ILR-AF) have been developed for continuous AF monitoring. We sought to …

Atrial fibrillation (AF) is the most common cardiac arrhythmia diagnosed and treated in the
world. The treatment of patients' symptoms as well as the prevention of stroke and heart …

Background: As new heart rhythm monitoring technologies emerge, subclinical atrial
fibrillation (AF) signifies a future challenge to health care systems. The pathological …

Background Recent studies have suggested a high prevalence of subclinical atrial
fibrillation (AF) in various patient populations, and interest in AF screening has increased …

Background Insertable cardiac monitors (ICMs) are used for long-term ECG monitoring. The
Reveal LINQ ICM has an improved atrial fibrillation (AF) detection algorithm. Objective The …

Implantable loop recorders have been developed for long-term monitoring of cardiac
arrhythmia, but their accuracy for atrial fibrillation (AF) detection is unsatisfactory. We sought …

Background Atrial fibrillation (AF) increases the rate of stroke 5-fold, and AF-related strokes
have a poorer prognosis compared with non–AF-related strokes. Atrial fibrillation and stroke …

Aims Intermittent change in p-wave discernibility during periods of ectopy and sinus
arrhythmia is a cause of inappropriate atrial fibrillation (AF) detection in insertable cardiac …

Background: Stroke is an increasing health problem worldwide. Atrial fibrillation (AF) is a
major risk factor for stroke, and the attention given to AF screening is rising, as new …