48707 20210121114518.0 doi 10.1109/CIC.2015.7411038 sideral 94574 ART-2015-94574 eng (orcid)0000-0002-0166-2837 Alcaine, A. Universidad de Zaragoza Estimation of high-density activation maps during atrial fibrillation 2015 Access copy available to the general public Unrestricted The study of activation maps using multi-electrode arrays (MEA) can help to understand atrial fibrillation (AF) mechanisms. Activation mapping based on recorded unipolar electrograms (u-EGM) rely on the local activation time (LAT) detector, which has a limited robustness, accuracy, and generally requires manual post-edition. In general, LAT detection ignores spatiotemporal information about activation and conduction conveyed by the relation between signals of the MEA sensor. This work proposes an approach to construct activation maps by simultaneous analysis of u-EGMs from small clusters of MEA electrodes. The algorithm iteratively fits an activation pattern model to the acquired data. Accuracy was evaluated by comparing with audited maps created by expert electrophysiologists from a patient undergoing open-chest surgery during AF. The estimation error was -0.29 ± 6.01 ms (236 maps, 28369 LATs) with high correlation (¿ = 0.93). Therefore, activation maps can be decomposed into local activation patterns derived from fitting an activation model, resulting in smooth and comprehensive high-density activation maps. info:eu-repo/grantAgreement/ES/MINECO/BES-2011-046644 info:eu-repo/grantAgreement/ES/MINECO/EEBB-I-13-06613 info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.294 2015 Computer Science (miscellaneous) 2015 Cardiology and Cardiovascular Medicine 2015 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion De Groot, N.M.S. (orcid)0000-0003-3434-9254 Laguna, P. Universidad de Zaragoza (orcid)0000-0002-7503-3339 Martínez, J.P. Universidad de Zaragoza Houben, R.P.M. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 42 (2015), 825-828 Comput. cardiol. Computing in Cardiology 2325-8861 1597094 http://zaguan.unizar.es/record/48707/files/texto_completo.pdf Versión publicada 108392 http://zaguan.unizar.es/record/48707/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:48707 articulos driver 2021-01-21-11:01:02 ARTICLE