000 01511 a2200433 4500
005 20250518000826.0
264 0 _c20191028
008 201910s 0 0 eng d
022 _a1879-0534
024 7 _a10.1016/j.compbiomed.2018.09.006
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aHu, Zhiyong
245 0 0 _aGeneralized polynomial chaos-based uncertainty quantification and propagation in multi-scale modeling of cardiac electrophysiology.
_h[electronic resource]
260 _bComputers in biology and medicine
_c11 2018
300 _a57-74 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aAnimals
650 0 4 _aComputational Biology
_xmethods
650 0 4 _aComputer Simulation
650 0 4 _aElectrophysiology
_xmethods
650 0 4 _aHeart Ventricles
650 0 4 _aIons
650 0 4 _aMice
650 0 4 _aModels, Cardiovascular
650 0 4 _aModels, Statistical
650 0 4 _aMonte Carlo Method
650 0 4 _aMuscle Cells
_xphysiology
650 0 4 _aNonlinear Dynamics
650 0 4 _aNormal Distribution
650 0 4 _aProbability
650 0 4 _aReproducibility of Results
650 0 4 _aStochastic Processes
650 0 4 _aUncertainty
650 0 4 _aVentricular Function
700 1 _aDu, Dongping
700 1 _aDu, Yuncheng
773 0 _tComputers in biology and medicine
_gvol. 102
_gp. 57-74
856 4 0 _uhttps://doi.org/10.1016/j.compbiomed.2018.09.006
_zAvailable from publisher's website
999 _c28868071
_d28868071