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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Reduced order modeling for uncertainty quantificat
 ion in cardiac electrophysiology - Andrea Manzoni 
 (Politecnico di Milano)
DTSTART;TZID=Europe/London:20190606T103000
DTEND;TZID=Europe/London:20190606T110000
UID:TALK125620AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/125620
DESCRIPTION:We   present a new\, computationally efficient fra
 mework to perform both forward   and inverse uncer
 tainty quantification (UQ) in cardiac electrophysi
 ology. We   consider the monodomain model to descr
 ibe the electrical activity in a   subject-specifi
 c left ventricle geometry\, coupled with the Aliev
 -Panfilov   model to characterize the ionic activi
 ty through the cell membrane. We take   into accou
 nt relevant inputs related to both models\, such a
 s electrical   conductivities\, pacing times\, and
  coefficients affecting the ionic models. We   add
 ress a complete UQ pipeline\, including: (i) a var
 iance-based sensitivity   analysis for the selecti
 on of the most relevant input parameters\; (ii)   
 forward UQ to investigate the impact of intra-subj
 ect variability on   clinically relevant outputs r
 elated to the cardiac action potential\, and   (ii
 i) inverse UQ for the sake of parameter and state 
 estimation within a   Bayesian framework. All thes
 e stages exploit stochastic (Monte Carlo)   sampli
 ng techniques\, thus implying overwhelming computa
 tional costs because   of the huge amount of queri
 es to the high-fidelity\, full-order coupled   PDE
 -ODEs model. To mitigate this computational burden
 \, we replace the   high-fidelity model with compu
 tationally inexpensive projection-based   reduced-
 order models aimed at reducing the state-space dim
 ensionality. ROM   approximation errors on the out
 puts of interest are finally taken into   account 
 by means of statistical error models built through
  Gaussian process   regression\, enhancing the acc
 uracy of the whole UQ pipeline.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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