2017
DOI: 10.1093/europace/eux272
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Adapting detection sensitivity based on evidence of irregular sinus arrhythmia to improve atrial fibrillation detection in insertable cardiac monitors

Abstract: AimsIntermittent change in p-wave discernibility during periods of ectopy and sinus arrhythmia is a cause of inappropriate atrial fibrillation (AF) detection in insertable cardiac monitors (ICM). To address this, we developed and validated an enhanced AF detection algorithm.Methods and resultsAtrial fibrillation detection in Reveal LINQ ICM uses patterns of incoherence in RR intervals and absence of P-wave evidence over a 2-min period. The enhanced algorithm includes P-wave evidence during RR irregularity as e… Show more

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Cited by 33 publications
(39 citation statements)
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“…Clinical studies demonstrated that the true positive rate for AF detection is dependent on the AF prevalence in the study cohorts, the programmed sensitivity of AF algorithm, as well as the duration of detected AF episodes 2,4 . The TruRhythm Detection for Reveal LINQ applies an adaptive p‐wave evidence algorithm to further reduce false AF detection with minimal reduction in sensitivity 3 . The base algorithm in Confirm Rx is similar to the prior Confirm ICM.…”
Section: Discussionmentioning
confidence: 99%
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“…Clinical studies demonstrated that the true positive rate for AF detection is dependent on the AF prevalence in the study cohorts, the programmed sensitivity of AF algorithm, as well as the duration of detected AF episodes 2,4 . The TruRhythm Detection for Reveal LINQ applies an adaptive p‐wave evidence algorithm to further reduce false AF detection with minimal reduction in sensitivity 3 . The base algorithm in Confirm Rx is similar to the prior Confirm ICM.…”
Section: Discussionmentioning
confidence: 99%
“…2,4 The TruRhythm Detection for Reveal LINQ applies an adaptive p-wave evidence algorithm to further reduce false AF detection with minimal reduction in sensitivity. 3 The base algorithm in Confirm Rx is similar to the prior Confirm ICM. The details of this algorithm have been described in a previous study.…”
Section: Freedom From Arrhythmias and Time To Diagnosismentioning
confidence: 99%
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“…The latest algorithms of atrial fibrillation implemented in ICMs are characterised by over 99% sensitivity and a positive predictive value of 95% [37].…”
Section: Ecg Monitoringmentioning
confidence: 99%