title: An enhanced method for accessory pathway localization in case of Wolff-Parkinson-White syndrome.
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 accuracy. 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 was not as relevant as other leads (I, II, III, V1) used. The branch of the decision tree, which evaluates the left ventricle positions, was entirely replaced using different decision criteria based on the same biological parameters. The modified algorithm significantly improves the localization accuracy in the left ventricle, reaching 94.9%. An accurate localization performance of non-invasive methods is relevant because it can enlighten the necessary invasive interventions, and it also reduces the discomfort caused to the patient.
authors: Faculty of Technical and Human Sciences Corunca Romania, Sapientia - Hungarian Science University of Transylvania, Corunca Romania. szs@ms.sapientia.ro
authors: Szilágyi Sándor
authors: SS
authors: Miklós
authors: L
authors: L
authors: Szilágyi
authors: L K
authors: LK
authors: Görög
authors: C T
authors: CT
authors: Luca
authors: D
authors: D
authors: Cozma
authors: G
authors: G
authors: Ivanica
authors: Z
authors: Z
authors: Benyó
mesh_terms: D058606:Accessory Atrioventricular Bundle / Q000175:diagnosis* / Q000503:physiopathology; D000465:Algorithms; D003661:Decision Support Techniques; D003663:Decision Trees; D004562:Electrocardiography; D006329:Heart Conduction System / Q000503:physiopathology*; D006801:Humans; D011237:Predictive Value of Tests; D012815:Signal Processing, Computer-Assisted; D014927:Wolff-Parkinson-White Syndrome / Q000175:diagnosis* / Q000503:physiopathology