000061916 001__ 61916
000061916 005__ 20190709135430.0
000061916 0247_ $$2doi$$a10.1109/TBME.2016.2592953
000061916 0248_ $$2sideral$$a99039
000061916 037__ $$aART-2017-99039
000061916 041__ $$aeng
000061916 100__ $$0(orcid)0000-0002-0166-2837$$aAlcaine, Alejandro
000061916 245__ $$aA multi-variate predictability framework to assess invasive cardiac activity and interactions during atrial fibrillation
000061916 260__ $$c2017
000061916 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061916 5203_ $$aObjective: This study introduces a predictability framework based on the concept of Granger causality (GC), in order to analyze the activity and interactions between different intracardiac sites during atrial fibrillation (AF). Methods: GC-based interactions were studied using a three-electrode analysis scheme with multi-variate autoregressive models of the involved preprocessed intracardiac signals. The method was evaluated in different scenarios covering simulations of complex atrial activity as well as endocardial signals acquired from patients. Results: The results illustrate the ability of the method to determine atrial rhythm complexity and to track and map propagation during AF. Conclusion: The proposed framework provides information on the underlying activation and regularity, does not require activation detection or postprocessing algorithms and is applicable for the analysis of any multielectrode catheter. Significance: The proposed framework can potentially help to guide catheter ablation interventions of AF.
000061916 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T96$$9info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN$$9info:eu-repo/grantAgreement/ES/MINECO/BES-2011-046644$$9info:eu-repo/grantAgreement/ES/MINECO/EEBB-I-14-08406$$9info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R
000061916 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000061916 590__ $$a4.288$$b2017
000061916 591__ $$aENGINEERING, BIOMEDICAL$$b9 / 78 = 0.115$$c2017$$dQ1$$eT1
000061916 592__ $$a1.267$$b2017
000061916 593__ $$aBiomedical Engineering$$c2017$$dQ1
000061916 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000061916 700__ $$aMasè, Michela
000061916 700__ $$aCristoforetti, Alessandro
000061916 700__ $$aRavelli, Flavia
000061916 700__ $$aNollo, Giandomenico
000061916 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000061916 700__ $$0(orcid)0000-0002-7503-3339$$aMartinez, Juan Pablo$$uUniversidad de Zaragoza
000061916 700__ $$aFaes, Luca
000061916 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000061916 773__ $$g64, 5 (2017), 1157-1168$$pIEEE trans. biomed. eng.$$tIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING$$x0018-9294
000061916 8564_ $$s2533115$$uhttps://zaguan.unizar.es/record/61916/files/texto_completo.pdf$$yPostprint
000061916 8564_ $$s124729$$uhttps://zaguan.unizar.es/record/61916/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000061916 909CO $$ooai:zaguan.unizar.es:61916$$particulos$$pdriver
000061916 951__ $$a2019-07-09-11:31:33
000061916 980__ $$aARTICLE