Automated detection of atrial fibrillation using R-R intervals and multivariate-based classification

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Analysis of R-R intervals in patients with atrial fibrillation at rest and during exercise.

Serial autocorrelation functions and histograms of R-R intervals in patients with atrial fibrillation, with and without digitalis, at rest and during exercise, were produced by a computer. At rest with and without digitalis the first and higher order coefficients did not differ from zero. During exercise (also with and without digitalis) only the first autocorrelation coefficient became slightl...

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Atrial fibrillation (AF) is one of the most common types of arrhythmia which significantly increases the risk factor of stroke – especially in elderly population. In this paper an algorithm is presented which is suitable for the effective detection of AF, by using merely heart rate data as input. The method is based on the processing of Poincaré plots constructed from the set of 30 RR intervals...

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ژورنال

عنوان ژورنال: Journal of Electrocardiology

سال: 2016

ISSN: 0022-0736

DOI: 10.1016/j.jelectrocard.2016.07.033