RISK ESTIMATION TECHNIQUES IN CASE OF WPW SYNDROME

Abstract This paper presents a new non-invasive method to estimate the danger to which are exposed the patients suffering from Wolff-Parkinson-White (WPW) syndrome. Our aim is to provide reliable risk estimation, and to formulate its limitations. The first task is the localization of the accessory pathway (AcP), which we solved using the stepwise Arruda algorithm. After getting the AcP location it was possible to determine the pre-excitation time and rate. A total of 42 patients were studied, and an 88% localization performance was reached. This was considered quite good result compared with the highest published figures (90%) by Boersma in 2002. The highest pre-excitation time was 92±5ms at a heart rate (HR=70±10). Although we could not measure the repolarization time of the AcP, the obtained results can help to construct non-invasive patient risk estimation.

[1]  R. Jayewardene The Wolff-Parkinson-White syndrome. , 1957, The Ceylon medical journal.

[2]  J. S. Cole,et al.  The Wolff‐Parkinson‐White Syndrome: Problems in Evaluation and Surgical Therapy , 1970, Circulation.

[3]  J. A. Abildskov,et al.  Limited Lead Selection for Estimation of Body Surface Potential Maps in Electrocardiography , 1978, IEEE Transactions on Biomedical Engineering.

[4]  J. Jalife,et al.  Cardiac Electrophysiology: From Cell to Bedside , 1990 .

[5]  P. Savard,et al.  Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans , 1994, IEEE Transactions on Biomedical Engineering.

[6]  L. Widman,et al.  Development and Validation of an ECG Algorithm for Identifying Accessory Pathway Ablation Site in Wolff‐Parkinson‐White Syndrome , 1998, Journal of cardiovascular electrophysiology.

[7]  S.M. Szilagyi The limits of heart-model-based computerized ECG diagnosis , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[8]  Bin He,et al.  Localization of the site of origin of cardiac activation by means of a heart-model-based electrocardiographic imaging approach , 2001, IEEE Transactions on Biomedical Engineering.

[9]  Lluís Mont,et al.  Accessory Pathway Localization by QRS Polarity in Children with Wolff‐Parkinson‐White Syndrome , 2002, Journal of cardiovascular electrophysiology.

[10]  Zoltán Benyó,et al.  Heart model based ECG signal processing , 2003 .