Atrio-Ventricular Junction behaviour during Atrial Fibrillation

Up to now the functioning of the Atrio-Ventricular Junction (AVJ) during Atrial Fibrillation (AF) is still not completely understood. To shed some light on the AVJ behavior during AF episodes, this study analyses the existence of a possible relationship between the occurrence of a heart beat and the power of the atrial activity (AA) preceding this heart beat in an electrocardiogram (ECG) signal. AA power is measured in the interval of the ECG between the onset of the heart beat under analysis and the ending of the previous heart beat (T-Q interval). Our analysis has shown a difference in the distributions of AA power versus cardiac cycle length (RR interval on the ECG) between healthy and pathological subjects. In particular, a negative trend between these two parameters is discovered in pathological subjects. This negative relation shows a possible coherence between power arriving at the AVJ and the triggering of the heart beat, which is in line with the assumptions made in the quantitative model for the ventricular response during AF by Cohen.

[1]  P. Tchou,et al.  Role of the differential bombardment of atrial inputs to the atrioventricular node as a factor influencing ventricular rate during high atrial rate. , 1999, Cardiovascular research.

[2]  L Toivonen,et al.  Determinants of the ventricular rate during atrial fibrillation. , 1990, Journal of the American College of Cardiology.

[3]  O. Meste,et al.  QRST cancellation using bayesian estimation for the auricular fibrillation analysis , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[4]  V. Fuster,et al.  ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation , 2001 .

[5]  F A Mathewson,et al.  The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba Follow-Up Study. , 1995, The American journal of medicine.

[6]  L. Light.  Engineering in medicine and biology , 1970 .

[7]  Mari A. Watanabe,et al.  Impulse Formation and Conduction of Excitation in the Atrioventricular Node , 1994, Journal of cardiovascular electrophysiology.

[8]  Leon Glass,et al.  A mathematical model of human atrioventricular nodal function incorporating concealed conduction , 2002, Bulletin of mathematical biology.

[9]  Pablo Laguna,et al.  Bioelectrical Signal Processing in Cardiac and Neurological Applications , 2005 .

[10]  Asoke K. Nandi,et al.  Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation , 2001, IEEE Transactions on Biomedical Engineering.

[11]  Jie Lian,et al.  Computer modeling of ventricular rhythm during atrial fibrillation and ventricular pacing , 2006, IEEE Transactions on Biomedical Engineering.

[12]  W. Zong,et al.  A QT interval detection algorithm based on ECG curve length transform , 2006, 2006 Computers in Cardiology.

[13]  P. Langley,et al.  Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications. , 2006, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[14]  W. Kannel,et al.  Epidemiologic features of chronic atrial fibrillation: the Framingham study. , 1982, The New England journal of medicine.

[15]  J Jalife,et al.  AV Nodal Function During Atrial Fibrillation: , 1996, Journal of cardiovascular electrophysiology.

[16]  Richard J. Cohen,et al.  A Quantitative Model for the Ventricular Response During Atrial Fibrillation , 1983, IEEE Transactions on Biomedical Engineering.