2016
DOI: 10.1016/j.hrthm.2016.03.005
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Performance of a new atrial fibrillation detection algorithm in a miniaturized insertable cardiac monitor: Results from the Reveal LINQ Usability Study

Abstract: The new AF detection algorithm in the Reveal LINQ ICM accurately detects the presence or absence of AF. Additionally, it showed high sensitivity in detecting AF duration in patients with a history of intermittent and symptomatic AF.

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Cited by 145 publications
(135 citation statements)
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“…34 The arrhythmic burden can be quantified with a continuous monitoring system, even though ILR data have shown a good correlation with continuous Holter monitoring. 35,36 Finally, the registration of the beginning of an AF episode with event recorders may help to establish the pathogenic mechanism of the arrhythmia. For example, AF episodes that are preceded by frequent atrial ectopic activity most likely have a focal origin.…”
Section: Holter Monitors and Loop Recorders In Patient Follow-upmentioning
confidence: 99%
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“…34 The arrhythmic burden can be quantified with a continuous monitoring system, even though ILR data have shown a good correlation with continuous Holter monitoring. 35,36 Finally, the registration of the beginning of an AF episode with event recorders may help to establish the pathogenic mechanism of the arrhythmia. For example, AF episodes that are preceded by frequent atrial ectopic activity most likely have a focal origin.…”
Section: Holter Monitors and Loop Recorders In Patient Follow-upmentioning
confidence: 99%
“…35,36 In the Reveal XT Performance Trial (XPECT), the detection algorithm of the Reveal XT, which is based on R-R interval variation analysis every 2 minutes, identified AF patients with a sensitivity of 96 % and specificity of 85 %. 35 Sensitivity is lower (85 %) when considering the detection of all episodes of AF.…”
Section: Algorithms and Diagnostic Accuracy Of Ilrsmentioning
confidence: 99%
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“…7 AF is a significant risk factor for patients, increasing risk of hospitalization, stroke, numerous other comorbidities, and mortality. [7][8][9][10] This results in an increased burden on health care systems. 11 Therefore, accuracy in detection of AF and other arrhythmias is critical for appropriate diagnosis, patient treatment and intervention.…”
Section: Figurementioning
confidence: 99%
“…Newer generation leadless devices have an AF detection algorithm which can filter P waves in order to reduce false positives by 46%, thereby raising both specificity and sensitivity to around 97%. (24) In devices with atrial sensing capability, such as dual-chamber permanent pacemakers, detection of an atrial high rate episode (AHRE) is often used as a surrogate for atrial tachyarrhythmia and AF. Modern devices may automatically identify and store these events as atrial flutter or fibrillation depending on whether or not the rhythm is regular or irregular, respectively.…”
Section: Interpretation Of Device-detected Atrial Tachyarrhythmiasmentioning
confidence: 99%