Generalized polynomial chaos-based uncertainty quantification and propagation in multi-scale modeling of cardiac electrophysiology.
Hu, Zhiyong
Generalized polynomial chaos-based uncertainty quantification and propagation in multi-scale modeling of cardiac electrophysiology. [electronic resource] - Computers in biology and medicine 11 2018 - 57-74 p. digital
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
1879-0534
10.1016/j.compbiomed.2018.09.006 doi
Animals
Computational Biology--methods
Computer Simulation
Electrophysiology--methods
Heart Ventricles
Ions
Mice
Models, Cardiovascular
Models, Statistical
Monte Carlo Method
Muscle Cells--physiology
Nonlinear Dynamics
Normal Distribution
Probability
Reproducibility of Results
Stochastic Processes
Uncertainty
Ventricular Function
Generalized polynomial chaos-based uncertainty quantification and propagation in multi-scale modeling of cardiac electrophysiology. [electronic resource] - Computers in biology and medicine 11 2018 - 57-74 p. digital
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
1879-0534
10.1016/j.compbiomed.2018.09.006 doi
Animals
Computational Biology--methods
Computer Simulation
Electrophysiology--methods
Heart Ventricles
Ions
Mice
Models, Cardiovascular
Models, Statistical
Monte Carlo Method
Muscle Cells--physiology
Nonlinear Dynamics
Normal Distribution
Probability
Reproducibility of Results
Stochastic Processes
Uncertainty
Ventricular Function