• 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