Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes.
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%.
Thong
Tran
T
OGI School of Science & Engineering, Oregon Health and Science University, Beaverton, OR 97006, USA. trant@bme.ogi.edu
McNames
James
J
Aboy
Mateo
M
Goldstein
Brahm
B
D000465:Algorithms; D001281:Atrial Fibrillation / Q000175:diagnosis* / Q000209:etiology; D018880:Atrial Premature Complexes / Q000150:complications / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013614:Tachycardia, Paroxysmal / Q000175:diagnosis* / Q000209:etiology