Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes

Author

Thong, Tran ; McNames, James ; Aboy, Mateo ; Goldstein, Brahm

Author_Institution

OGI Sch. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA

Volume

51

Issue

4

fYear

2004

fDate

4/1/2004 12:00:00 AM

Firstpage

561

Lastpage

569

Abstract

Currently, no reliable method exists to predict the onset of paroxysmal atrial fibrillation (PAF). We propose a predictor that includes an analysis of the R-R time series. The predictor uses three criteria: the number of premature atrial complexes (PAC) not followed by a regular R-R interval, runs of atrial bigeminy and trigeminy, and the length of any short run of paroxysmal atrial tachycardia. An increase in activity detected by any of these three criteria is an indication of an imminent episode of PAF. Using the Physionet database of the Computers in Cardiology 2001 Challenge, the predictor achieved a sensitivity of 89% and a specificity of 91%.

Keywords

bioelectric phenomena; electrocardiography; Computers in Cardiology 2001 Challenge; Physionet database; R-R time series; atrial bigeminy; atrial premature complexes; atrial trigeminy; paroxysmal atrial fibrillation; paroxysmal atrial tachycardia; Atrial fibrillation; Cardiology; Databases; Electrocardiography; History; Medical treatment; Senior citizens; State estimation; Time series analysis; Voltage; Algorithms; Atrial Fibrillation; Atrial Premature Complexes; Diagnosis, Computer-Assisted; Electrocardiography; Heart Rate; Humans; Prognosis; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Tachycardia, Paroxysmal;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2003.821030

Filename

1275571