DocumentCode
591320
Title
Spatial modeling of the Wolff-Parkinson-White syndrome induced ventricular fibrillation
Author
Szilagyi, Sandor M. ; Szilagyi, L. ; Luca, C.T. ; Cozma, Danut ; Ivanica, G. ; Enacnescu, C.
Author_Institution
Petru Mai or Univ., Tîrgu Mureş, Romania
fYear
2012
fDate
9-12 Sept. 2012
Firstpage
753
Lastpage
756
Abstract
Aims: The goal of this study is to assess the influence of the accessory pathway´s (AcP) location and its repolarization period on the incidence of ventricular fibrillation (VF), in order to develop a non-invasive method able to select the most endangered patients that suffer from Wolff-Parkinson-White (WPW) syndrome. Methods: 12-lead ECG was recorded from 79 patients suffering from WPW (aged between 9 and 71 years) at the Cardiology Center of Timişoara (Romania), and the insertion place of AcP-s were determined using Arruda localization method. We developed a spatio-temporal computerized model of the whole heart. Using a high spatio-temporal resolution we modeled the paroxysm of atrial fibrillation (AF) that in the presence of an AcP caused a catastrophically rapid ventricular response with degeneration to VF. Results: Irrespectively of the AcP location, in presence of low AcP repolarization period (under 200 ms) the VF was developed for all 79 cases (average simulation time of 2 minutes 17 seconds using five stimulations per second). Conclusion: Low repolarization period is the most important danger to VF for patients suffering from WPW, while the connection place and the location of AcP has relatively reduced imperilment impact.
Keywords
electrocardiography; medical disorders; medical signal processing; signal resolution; spatiotemporal phenomena; AcP repolarization period; Arruda localization method; ECG; WPW syndrome; accessory pathway location; age 9 yr to 71 yr; atrial fibrillation paroxysm; catastrophically rapid ventricular response; heart; noninvasive method; spatial modeling; spatio-temporal computerized model; spatio-temporal resolution; time 200 ms; ventricular fibrillation; wolff-parkinson-white syndrome; Adaptation models; Atrial fibrillation; Computational modeling; Heart; Muscles; Nonhomogeneous media; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology (CinC), 2012
Conference_Location
Krakow
ISSN
2325-8861
Print_ISBN
978-1-4673-2076-4
Type
conf
Filename
6420503
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