NDLI: Statistical analysis of RR interval irregularities for detection of atrial fibrillation

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Statistical analysis of RR interval irregularities for detection of atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Ghodrati, A. Marinello, S.
Copyright Year	2008
Description	Author affiliation: Draeger Med. Syst. Inc, Andover, MA (Ghodrati, A.; Marinello, S.)
Abstract	We compare two Atrial Fibrillation (AFIB) detection methods from surface ECG, based on RR interval variability in a statistical framework. We obtain the histogram of normalized RR differences for AFIB and non-AFIB episodes using MIT-BIH Arrhythmia database. Two probability density functions (pdf) are employed to model the histograms: Gaussian and Laplace. We then use Neyman-Pearson (NP) detection approach to obtain criteria for AFIB detection. The performance of the two methods is compared using Receiver Operating Curves (ROC) over the different databases. The result shows that the Laplace pdf approximates the histogram of normalized RR differences better than the Gaussian pdf and leads to better AFIB detection performance.
Starting Page	1057
Ending Page	1060
File Size	88805
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Statistical analysis Atrial fibrillation Databases Hidden Markov models Histograms Electrocardiography Rail to rail inputs Random variables Patient monitoring Detection algorithms
Content Type	Text
Resource Type	Article

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