000078346 001__ 78346
000078346 005__ 20200117213750.0
000078346 0247_ $$2doi$$a10.1016/j.jelectrocard.2017.10.015
000078346 0248_ $$2sideral$$a105308
000078346 037__ $$aART-2018-105308
000078346 041__ $$aeng
000078346 100__ $$0(orcid)0000-0002-0166-2837$$aAlcaine, A.
000078346 245__ $$aAutomatic activation mapping and origin identification of idiopathic outflow tract ventricular arrhythmias
000078346 260__ $$c2018
000078346 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078346 5203_ $$aPurpose: Activation mapping is used to guide ablation of idiopathic outflow tract ventricular arrhythmias (OTVAs). Isochronal activation maps help to predict the site of origin (SOO): left vs right outflow tract (OT). We evaluate an algorithm for automatic activation mapping based on the onset of the bipolar electrogram (EGM) signal for predicting the SOO and the effective ablation site in OTVAs. Methods: Eighteen patients undergoing ablation due to idiopathic OTVAs were studied (12 with left ventricle OT origin). Right ventricle activation maps were obtained offline with an automatic algorithm and compared with manual annotation maps obtained during the intervention. Local activation time (LAT) accuracy was assessed, as well as the performance of the 10 ms earliest activation site (EAS) isochronal area in predicting the SOO. Results: High correlation was observed between manual and automatic LATs (Spearman's: 0.86 and Lin's: 0.85, both p < 0.01). The EAS isochronal area were closely located in both map modalities (5.55 ± 3.56 mm) and at a similar distance from the effective ablation site (0.15 ± 2.08 mm difference, p = 0.859). The 10 ms isochronal area longitudinal/perpendicular diameter ratio measured from automatic maps showed slightly superior SOO identification (67% sensitivity, 100% specificity) compared with manual maps (67% sensitivity, 83% specificity). Conclusions: Automatic activation mapping based on the bipolar EGM onset allows fast, accurate and observer-independent identification of the SOO and characterization of the spreading of the activation wavefront in OTVAs.
000078346 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T96-BSICoS$$9info:eu-repo/grantAgreement/ES/ISCIII-FEDER/PI14-00759$$9info:eu-repo/grantAgreement/ES/MINECO/BES-2011-046644$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R$$9info:eu-repo/grantAgreement/ES/MINECO/EEBB-I-15-09466$$9info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2011-28067
000078346 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000078346 590__ $$a1.166$$b2018
000078346 591__ $$aCARDIAC & CARDIOVASCULAR SYSTEMS$$b119 / 136 = 0.875$$c2018$$dQ4$$eT3
000078346 592__ $$a0.547$$b2018
000078346 593__ $$aCardiology and Cardiovascular Medicine$$c2018$$dQ2
000078346 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000078346 700__ $$aSoto-Iglesias, D.
000078346 700__ $$aAcosta, J.
000078346 700__ $$aKorshunov, V.
000078346 700__ $$aPenela, D.
000078346 700__ $$aMartínez, M.
000078346 700__ $$aLinhart, M.
000078346 700__ $$aAndreu, D.
000078346 700__ $$aFernández-Armenta, J.
000078346 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, P.$$uUniversidad de Zaragoza
000078346 700__ $$0(orcid)0000-0002-7503-3339$$aMartínez, J.P.$$uUniversidad de Zaragoza
000078346 700__ $$aCamara, O.
000078346 700__ $$aBerruezo, A.
000078346 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000078346 773__ $$g51, 2 (2018), 239-246$$pJ. electrocardiol.$$tJOURNAL OF ELECTROCARDIOLOGY$$x0022-0736
000078346 8564_ $$s945098$$uhttps://zaguan.unizar.es/record/78346/files/texto_completo.pdf$$yPostprint
000078346 8564_ $$s42804$$uhttps://zaguan.unizar.es/record/78346/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000078346 909CO $$ooai:zaguan.unizar.es:78346$$particulos$$pdriver
000078346 951__ $$a2020-01-17-21:31:48
000078346 980__ $$aARTICLE