RT Conference Proceedings
T1 Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation
A1 Ríos Muñoz, Gonzalo Ricardo
A1 Artés Rodríguez, Antonio
A1 Míguez Arenas, Joaquín
AB A high dimensional tracking system based on the FithzHugh-Nagumo (FH-N) equations emulating the biological excitation and propagation dynamics of the action potential across cardiac cells is proposed. The modified FH-N model tracks the electric cardiac wavefronts on a tissue, emulating an approximated atrial fibrillation scenario. Bayesian tracking is achieved with two particle filter (PF) schemes: a sequential Auxiliary PF (APF) and a parallelized method, Independent APF (IAPF). The numerical results of the two examples, involving both estimation errors and running times, provide numerical evidence that support the theoretical findings.
PB IEEE
SN 978-1-7281-0924-4 Print on Demand (PoD)
SN 978-1-7281-0958-9 (online)
SN 2325-8861 Print on Demand (PoD)
SN 2325-887X (online)
YR 2019
FD 2019-06-24
LK https://hdl.handle.net/10016/34823
UL https://hdl.handle.net/10016/34823
LA eng
NO Proceeding of 2018 Computing in Cardiology Conference (CinC), September 23-26, 2018, Maastricht, The Netherlands
NO This work has been partly supported by MINECO/FEDER (ADVENTURE, id. TEC2015-69868-C2-1-R), and Comunidad de Madrid (project CASI-CAM-CM, id. S2013/ICE-2845).
DS e-Archivo
RD 27 jul. 2024