NDLI: Automatic detection of atrial fibrillation and flutter using the differentiated ECG signal

Content Provider	IEEE Xplore Digital Library
Author	Giraldo, B.F. Laguna, P. Jane, R. Caminal, P.
Copyright Year	1995
Description	Author affiliation: Inst. de Cibernetica, CSIC, Barcelona, Spain (Giraldo, B.F.)
Abstract	Atrial electrical activity during erratic heart rhythms, such as atrial fibrillation (AF) and flutter (AFL), are difficult to characterize quantitatively. In this work the authors investigated quantitative differences in ECG signals with AF and AFL. In each RR interval they analysed a set of windows to determine the characteristic waves of the AF and AFL (F waves). The method uses the differentiated and low-pass filtered ECG signal for the detection of F wave boundaries. The method has been applied to ECG records of the MIT-BIH database with a wide range of AF and AFL morphologies. The best statistical significance to separate AF from AFL has been obtained when analysing the variation coefficient of the F wave duration (VCFD): AF 0.368/spl plusmn/0.071, AFL 0.204/spl plusmn/0.068, p<0.001. When defining an ECG record as AF, if VCFD>0.255, the clinical performance of VCFD for detection of AF presents a sensitivity of 90%.
Starting Page	369
Ending Page	372
File Size	316773
Page Count	4
File Format	PDF
ISBN	0780330536
DOI	10.1109/CIC.1995.482662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atrial fibrillation Electrocardiography Low pass filters Databases Morphology Noise measurement Frequency Band pass filters Adaptive signal detection Heart
Content Type	Text
Resource Type	Article

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