New Bayesian discriminator for detection of atrial tachyarrhythmias

Circulation
Weichao XuChu-Pak Lau

Abstract

Accurate, rapid detection of atrial tachyarrhythmias has important implications in the use of implantable devices for treatment of cardiac arrhythmia. Currently available detection algorithms for atrial tachyarrhythmias, which use the single-index method, have limited sensitivity and specificity. In this study, we evaluated the performance of a new Bayesian discriminator algorithm in the detection of atrial fibrillation (AF), atrial flutter (AFL), and sinus rhythm (SR). Bipolar recording of 364 rhythms (AF=156, AFL=88, SR=120) at the high right atrium were collected from 20 patients who underwent electrophysiological procedures. After initial signal processing, a column vector of 5 features for each rhythm were established, based on the regularity, rate, energy distribution, percent time of quiet interval, and baseline reaching of the rectified autocorrelation coefficient functions. Rhythm identification was obtained by use of Bayes decision rule and assumption of Gaussian distribution. For the new Bayesian discriminator, the overall sensitivity for detection of SR, AF, and AFL was 97%, 97%, and 94%, respectively; and the overall specificity for detection of SR, AF, and AFL was 98%, 98%, and 99%, respectively. The overall accur...Continue Reading

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Citations

Dec 17, 2009·Biomedical Engineering Online·Jinho ParkMoongu Jeon
Jan 1, 2010·IEEE Reviews in Biomedical Engineering·Roger C BarrAndrew E Pollard
Mar 5, 2009·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Phillip P A StaniczenkoNick S Jones
Jun 21, 2017·Health Technology Assessment : HTA·Nicky J WeltonReecha Sofat

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