Risk Estimation Techniques in Case of WPW Syndrome
| Authors: | Szilagyi Sandor Miklos, Sapientia - Hungarian Science University of Transylvania, Romania
Szilagyi Laszlo, Budapest University of Technology and Economics, Hungary
Benyo Zoltan, Budapest University of Technology and Economics, Hungary |
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| Topic: | 8.2 Modelling & Control of Biomedical Systems |
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| Session: | Control Application to Life Medicine II |
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| Keywords: | Heart wall motions, Medical applications, Models, Neural network, Real-time systems, Signal processing |
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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.
