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March 23, 2004IEEE Transactions on Biomedical Engineering

Prediction of Paroxysmal Atrial Fibrillation by Analysis of Atrial Premature Complexes

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Why the study?

Does an R-R time series analysis algorithm predict the onset of paroxysmal atrial fibrillation?

Population

ECG recordings from the Physionet database of the Computers in Cardiology 2001 Challenge

Design

Other

Authors

TTT. ThongHue UniversityJMJames McNamesClarion UniversityMAMateo AboyUniversity of Cambridge

Discussion

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Implication

May aid imminent PAF prediction in monitoring; leaves open prospective validation before clinical use.

Structured PICO

Does an R-R time series analysis algorithm predict the onset of paroxysmal atrial fibrillation?

P
Population
ECG recordings from the Physionet database of the Computers in Cardiology 2001 Challenge
I
Intervention
Predictor algorithm analyzing R-R time series (number of premature atrial complexes not followed by a regular R-R interval, runs of atrial bigeminy and trigeminy, and length of short runs of paroxysmal atrial tachycardia)
O
Outcome
Prediction of imminent paroxysmal atrial fibrillation (PAF) onset

An algorithm analyzing R-R time series for premature atrial complexes and short runs of atrial tachycardia can predict imminent paroxysmal atrial fibrillation with 89% sensitivity and 91% specificity.

Cite This Study

Thong et al. (2004) studied this question.

synapsesocial.com/papers/6a7447e217dd9a89f6092f62https://doi.org/10.1109/tbme.2003.821030

Topics

Atrial fibrillationPersistent AF management
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Also Consider

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