DocumentCode
835355
Title
Electrocardiology of atrial fibrillation
Author
Bollmann, A. ; Lombardi, F.
Author_Institution
Dept. of Cardiology, Otto-von-Guericke Univ., Magdeburg
Volume
25
Issue
6
fYear
2006
Firstpage
15
Lastpage
23
Abstract
This article provides an overview and discussion of different available electrocardiographic approaches that my prove useful in the clinical management of patients with atrial fibrillation (AF). At the atrial level, characterization of fibrillation waves during AF using spectral analysis techniques or using P-wave signal averaging during (restored) sinus rhythm has been successfully applied in order to monitor and predict outcome of antiarrhythmic drug therapy and cardioversion. At the ventricular level, heart rate variability (HRV) analysis, RR interval histogram, and Poincare plot analysis have been applied to predict AF onset and recurrence. As with the P-SAECG, the majority of recordings were made, however, during sinus rhythm in paroxysmal or after cardioversion in persistent AF. Developments of new and easy-to-use algorithms for fibrillatory wave classification and ventricular response pattern are examples of possible collaboration between clinicians and bioengineers. Hopefully, in the near future, examination of any AF patient will include direct information on individual electrophysiological, structural, and autonomic characteristics that, at the moment, can only be obtained in a limited number of patients
Keywords
Poincare mapping; electrocardiography; medical signal processing; signal classification; spectral analysis; P-SAECG; P-wave signal averaging; Poincare plot analysis; RR interval histogram; antiarrhymic drug therapy; atrial fibrillation; cardioversion; electrocardiography; electrocardiology; fibrillatory wave classification; heart rate variability analysis; sinus rhythm; spectral analysis; ventricular response pattern; Atrial fibrillation; Cardiology; Drugs; Heart rate variability; Histograms; Medical treatment; Patient monitoring; Rhythm; Signal restoration; Spectral analysis;
fLanguage
English
Journal_Title
Engineering in Medicine and Biology Magazine, IEEE
Publisher
ieee
ISSN
0739-5175
Type
jour
DOI
10.1109/EMB-M.2006.250504
Filename
4015951
Link To Document