77127 20200108100343.0 doi 10.1109/JBHI.2018.2805773 sideral 106144 ART-2018-106144 eng Luengo, David Hierarchical algorithms for causality retrieval in atrial fibrillation intracavitary electrograms 2018 Access copy available to the general public Unrestricted Multi-channel intracavitary electrograms (EGMs), are acquired at the electrophysiology laboratory to guide radio frequency catheter ablation of patients suffering from atrial fibrillation (AF). These EGMs are used by cardiologists to determine candidate areas for ablation (e.g., areas corresponding to high dominant frequencies or complex fractionated electrograms). In this paper, we introduce two hierarchical algorithms to retrieve the causal interactions among these multiple EGMs. Both algorithms are based on Granger causality, but other causality measures can be easily incorporated. In both cases, they start by selecting a root node, but they differ on the way in which they explore the set of signals to determine their cause-effect relationships: either testing the full set of unexplored signals (GS-CaRe) or performing a local search only among the set of neighbor EGMs (LS-CaRe). The ensuing causal model provides important information about the propagation of the electrical signals inside the atria, uncovering wavefronts and activation patterns that can guide cardiologists towards candidate areas for catheter ablation. Numerical experiments, on both synthetic signals and annotated real-world signals, show the good performance of the two proposed approaches. info:eu-repo/grantAgreement/ES/MINECO/TEC2015-64835-C3-3-R info:eu-repo/grantAgreement/ES/MINECO/TEC2015-69868-C2-1-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.217 2018 COMPUTER SCIENCE, INFORMATION SYSTEMS 19 / 155 = 0.123 2018 Q1 T1 MATHEMATICAL & COMPUTATIONAL BIOLOGY 5 / 59 = 0.085 2018 Q1 T1 MEDICAL INFORMATICS 4 / 26 = 0.154 2018 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 16 / 106 = 0.151 2018 Q1 T1 1.122 2018 Biotechnology 2018 Q1 Health Information Management 2018 Q1 Electrical and Electronic Engineering 2018 Q1 Computer Science Applications 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Ríos-Muñoz, Gonzalo Ricardo Elvira, Víctor Sánchez, Carlos Artés-Rodríguez, Antonio 23, 1 (2018), 143-155 IEEE j. biomed. health inform. IEEE journal of biomedical and health informatics 2168-2194 808864 http://zaguan.unizar.es/record/77127/files/texto_completo.pdf Postprint 143836 http://zaguan.unizar.es/record/77127/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:77127 articulos driver 2020-01-08-09:29:02 ARTICLE