61916 20190709135430.0 doi 10.1109/TBME.2016.2592953 sideral 99039 ART-2017-99039 eng (orcid)0000-0002-0166-2837 Alcaine, Alejandro A multi-variate predictability framework to assess invasive cardiac activity and interactions during atrial fibrillation 2017 Access copy available to the general public Unrestricted Objective: 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. info:eu-repo/grantAgreement/ES/DGA/T96 info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN info:eu-repo/grantAgreement/ES/MINECO/BES-2011-046644 info:eu-repo/grantAgreement/ES/MINECO/EEBB-I-14-08406 info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.288 2017 ENGINEERING, BIOMEDICAL 9 / 78 = 0.115 2017 Q1 T1 1.267 2017 Biomedical Engineering 2017 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Masè, Michela Cristoforetti, Alessandro Ravelli, Flavia Nollo, Giandomenico (orcid)0000-0003-3434-9254 Laguna, Pablo Universidad de Zaragoza (orcid)0000-0002-7503-3339 Martinez, Juan Pablo Universidad de Zaragoza Faes, Luca 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 64, 5 (2017), 1157-1168 IEEE trans. biomed. eng. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 0018-9294 2533115 http://zaguan.unizar.es/record/61916/files/texto_completo.pdf Postprint 124729 http://zaguan.unizar.es/record/61916/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:61916 articulos driver 2019-07-09-11:31:33 ARTICLE