Continuous multiparameter monitoring of P wave parameters after CABG using wavelet detector

The aim of the study was to develop methodology for long-term study of ECG parameters, in particular the P wave parameters. In this study we address continuous monitoring of different P wave parameters in the group of patients after coronary artery bypass grafting (CABG) in order to examine potential predictors of atrial fibrillation. Lead II of the standard surface ECG was recorded in the period of typically 48 hours in patients after CABG. Dyadic wavelet transform analysis with first derivation of Gaussian smoothing function as a mother wavelet, was used for a QRS and a P wave detection, characterization and delineation. During the recording, for every patient, in every hour, vector of 108 P wave components was calculated, allowing continuous and deeper insight into atrial activity

[1]  J.-M. Boucher,et al.  P-wave parameters for atrial fibrillation risk detection , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  R. Magjarevic,et al.  Real time P-wave detector based on wavelet analysis , 2004, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).

[3]  C. Li,et al.  Detection of ECG characteristic points using wavelet transforms. , 1995, IEEE transactions on bio-medical engineering.

[4]  S. Olsson Atrial fibrillation – where do we stand today? , 2001, Journal of internal medicine.

[5]  L. Clavier,et al.  Automatic P-wave analysis of patients prone to atrial fibrillation , 2006, Medical and Biological Engineering and Computing.

[6]  Giovanni Calcagnini,et al.  Prediction of atrial fibrillation from surface ECG: review of methods and algorithms. , 2003, Annali dell'Istituto superiore di sanita.