Surface Atrial Frequency Analysis in Patients with Atrial Fibrillation:

Introduction: The aims of this study were to evaluate (1) principal component analysis as a technique for extracting the atrial signal waveform from the standard 12‐lead ECG and (2) its ability to distinguish changes in atrial fibrillation (AF) frequency parameters over time and in response to pharmacologic manipulation using drugs with different effects on atrial electrophysiology.

[1]  D. Sherman,et al.  Atrial fibrillation and stroke. , 1997, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

[2]  D. Todd,et al.  Effect of Amiodarone on Dispersion of Atrial Refractoriness and Cycle Length in Patients with Atrial Fibrillation , 2003, Journal of cardiovascular electrophysiology.

[3]  J Toyama,et al.  Amiodarone: ionic and cellular mechanisms of action of the most promising class III agent. , 1999, The American journal of cardiology.

[4]  J. Millet-Roig,et al.  Reconstruction of atrial signals derived from the 12-lead ECG using atrial signal extraction techniques , 2003, Computers in Cardiology, 2003.

[5]  M. Allessie,et al.  High-density mapping of electrically induced atrial fibrillation in humans. , 1994, Circulation.

[6]  C. Lau,et al.  Electrophysiologic actions of dl-sotalol in patients with persistent atrial fibrillation. , 2002, Journal of the American College of Cardiology.

[7]  A. Bollmann,et al.  Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide. , 1998, The American journal of cardiology.

[8]  H. Elming,et al.  Dofetilide: a new drug to control cardiac arrhythmia , 2003, Expert opinion on pharmacotherapy.

[9]  E Bacharakis,et al.  Maternal and foetal ECG separation using blind source separation methods. , 1997, IMA journal of mathematics applied in medicine and biology.

[10]  L. Sörnmo,et al.  Non-invasive assessment of the atrial cycle length during atrial fibrillation in man: introducing, validating and illustrating a new ECG method. , 1998, Cardiovascular research.

[11]  Andreas Bollmann,et al.  Atrial Fibrillatory Frequency Predicts Atrial Defibrillation Threshold and Early Arrhythmia Recurrence in Patients Undergoing Internal Cardioversion of Persistent Atrial Fibrillation , 2002, Pacing and clinical electrophysiology : PACE.

[12]  J. Messenger,et al.  A new pacemaker algorithm for the treatment of atrial fibrillation: results of the Atrial Dynamic Overdrive Pacing Trial (ADOPT). , 2003, Journal of the American College of Cardiology.

[13]  S Swiryn,et al.  Computer detection of atrioventricular dissociation from surface electrocardiograms during wide QRS complex tachycardias. , 1985, Circulation.

[14]  J. Halperin,et al.  Atrial fibrillation and stroke : concepts and controversies. , 2001, Stroke.

[15]  G. Davey Smith,et al.  Are Two Really Better Than One?: Empirical Examination of Repeat Blood Pressure Measurements and Stroke Risk in the Renfrew/Paisley and Collaborative Studies , 2001, Stroke.

[16]  J Clémenty,et al.  Spontaneous initiation of atrial fibrillation by ectopic beats originating in the pulmonary veins. , 1998, The New England journal of medicine.

[17]  W G Stevenson,et al.  Prognostic Significance of Atrial Fibrillation in Advanced Heart Failure: A Study of 390 Patients , 1991, Circulation.

[18]  P. Langley,et al.  Frequency analysis of atrial fibrillation , 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

[19]  A Laupacis,et al.  Prevalence, age distribution, and gender of patients with atrial fibrillation. Analysis and implications. , 1995, Archives of internal medicine.

[20]  P. Langley,et al.  Comparison of atrial rhythm extraction techniques for the estimation of the main atrial frequency from the 12-lead electrocardiogram in atrial fibrillation , 2002, Computers in Cardiology.

[21]  M. Allessie,et al.  Experimental evaluation of Moe's multiple wavelet hypothesis of atrial fibrillation , 1985 .

[22]  D. Levy,et al.  Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. , 1998, Circulation.

[23]  Leif Sörnmo,et al.  Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation , 2001, IEEE Transactions on Biomedical Engineering.

[24]  H. Crijns,et al.  Effects of beta-blockade on atrial and atrioventricular nodal refractoriness, and atrial fibrillatory rate during atrial fibrillation in pigs. , 1997, Japanese heart journal.

[25]  A. Capucci,et al.  Electrophysiological effects of flecainide and propafenone on atrial fibrillation cycle and relation with arrhythmia termination , 1999, Heart.

[26]  I. Jolliffe.  Principal Component Analysis , 2002 .