An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome

Sándor M. Szilágyi, László Szilágyi, Levente K. Görög, Constantin T. Luca, Dragoş Cozma, Gabriel Ivanica, Z. Benyó

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an analysis of the Arruda accessory pathway localization method for patients suffering from Wolff-Parkinson-White syndrome, with modifications to increase the overall performance. The Arruda method was tested on a total of 79 cases, and 91.1 % localization performance was reached. After a deeper analysis of each decision point of the Arruda localization method, we considered that the lead aVF is not as relevant as other used leads (I, II, III, V1). The branch of the decision tree, which evaluates the left ventricle positions, was entirely replaced using different decision criteria based of the same biological parameters. The modified algorithm significantly improves the localization performance in the left ventricle. The overall performance reaches 94.9 %. A high localization performance of non-invasive methods is relevant because it can enlighten the necessary invasive interventions, and also reduces the discomfort caused to the patient.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages269-276
Number of pages8
Volume5197 LNCS
DOIs
Publication statusPublished - 2008
Event13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 - Havana, Cuba
Duration: Sep 9 2008Sep 12 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5197 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
CountryCuba
CityHavana
Period9/9/089/12/08

Fingerprint

Accessories
Decision trees
Pathway
Lead
Left Ventricle
Decision tree
Branch
Necessary
Evaluate

Keywords

  • Accessory pathway
  • Decision tree
  • Sensitivity analysis
  • Wolff-Parkinson-White syndrome

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Szilágyi, S. M., Szilágyi, L., Görög, L. K., Luca, C. T., Cozma, D., Ivanica, G., & Benyó, Z. (2008). An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5197 LNCS, pp. 269-276). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5197 LNCS). https://doi.org/10.1007/978-3-540-85920-8_33

An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome. / Szilágyi, Sándor M.; Szilágyi, László; Görög, Levente K.; Luca, Constantin T.; Cozma, Dragoş; Ivanica, Gabriel; Benyó, Z.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5197 LNCS 2008. p. 269-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5197 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Szilágyi, SM, Szilágyi, L, Görög, LK, Luca, CT, Cozma, D, Ivanica, G & Benyó, Z 2008, An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5197 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5197 LNCS, pp. 269-276, 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Havana, Cuba, 9/9/08. https://doi.org/10.1007/978-3-540-85920-8_33
Szilágyi SM, Szilágyi L, Görög LK, Luca CT, Cozma D, Ivanica G et al. An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5197 LNCS. 2008. p. 269-276. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-85920-8_33
Szilágyi, Sándor M. ; Szilágyi, László ; Görög, Levente K. ; Luca, Constantin T. ; Cozma, Dragoş ; Ivanica, Gabriel ; Benyó, Z. / An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5197 LNCS 2008. pp. 269-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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