caa a22 4500 605510571 CHVBK 20210128100646.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10877-014-9597-z doi (NATIONALLICENCE)springer-10.1007/s10877-014-9597-z Digital resolution enhancement of intracardiac excitation maps during atrial fibrillation [Elektronische Daten] [Keryn Palmer, Nathaniel Thompson, Peter Spector, Jérôme Kalifa, Jason Bates] Atrial fibrillation (AF) is often successfully treated by catheter ablation. Those cases of AF that do not readily succumb to ablation therapy would benefit from improved methods for mapping the complex spatial patterns of tissue activation that typify recalcitrant AF. To this end, the purpose of our study was to investigate the use of numerical deconvolution to improve the spatial resolution of activation maps provided by 2-D arrays of intra-cardiac recording electrodes. We simulated tissue activation patterns and their corresponding electric potential maps using a computational model of cardiac electrophysiology, and sampled the maps over a grid of locations to generate a mapping data set. Following cubic spline interpolation, followed by edge-extension and windowing, we deconvolved the data and compared the results to the model current density fields. We performed a similar analysis on voltage-sensitive dye maps obtained in isolated sheep hearts. For both the synthetic data and the voltage-sensitive dye maps, we found that deconvolution led to visually improved map resolution for arrays of 10×10 up to 30×30 electrodes placed within a few mm of the atrial surface when the activation patterns included 3-4 features that spanned the recording area. Root mean square error was also reduced by deconvolution. Deconvolution of arrays of intracardiac potentials, preceded by appropriate interpolation and edge processing, leads to potentially useful improvements in map resolution that may allow more effective assessment of the spatiotemporal dynamics of tissue excitation during AF. Springer Science+Business Media New York, 2014 Catheter ablation therapy nationallicence Edge extension nationallicence Interpolation nationallicence Computational model nationallicence Wiener filter nationallicence Palmer Keryn School of Engineering, University of Vermont, 05405, Burlington, VT, USA aut Thompson Nathaniel Department of Medicine, Fletcher Allen Health Care, 05405, Burlington, VT, USA aut Spector Peter Department of Medicine, Fletcher Allen Health Care, 05405, Burlington, VT, USA aut Kalifa Jérôme Center for Arrhythmia Research, University of Michigan, 48109, Ann Arbor, MI, USA aut Bates Jason Department of Medicine, University of Vermont College of Medicine, 149 Beaumont Avenue, HSRF 228, 05405-0075, Burlington, VT, USA aut Journal of Clinical Monitoring and Computing Springer Netherlands 29/2(2015-04-01), 279-289 1387-1307 29:2<279 2015 29 10877 https://doi.org/10.1007/s10877-014-9597-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10877-014-9597-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Palmer Keryn School of Engineering, University of Vermont, 05405, Burlington, VT, USA aut NATIONALLICENCE 700 1- Thompson Nathaniel Department of Medicine, Fletcher Allen Health Care, 05405, Burlington, VT, USA aut NATIONALLICENCE 700 1- Spector Peter Department of Medicine, Fletcher Allen Health Care, 05405, Burlington, VT, USA aut NATIONALLICENCE 700 1- Kalifa Jérôme Center for Arrhythmia Research, University of Michigan, 48109, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Bates Jason Department of Medicine, University of Vermont College of Medicine, 149 Beaumont Avenue, HSRF 228, 05405-0075, Burlington, VT, USA aut NATIONALLICENCE 773 0- Journal of Clinical Monitoring and Computing Springer Netherlands 29/2(2015-04-01), 279-289 1387-1307 29:2<279 2015 29 10877