Stochastic dosimetry of a three compartment head model

DOI10.1016/J.ENGANABOUND.2020.04.010zbMath1464.65186OpenAlexW3033975785MaRDI QIDQ785132

Mario Cvetković, Anna Šušnjara, Hrvoje Dodig, Dragan Poljak

Publication date: 5 August 2020

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2020.04.010

zbMATH Keywords

sensitivity analysisuncertainty quantificationstochastic collocationhybrid FEM/BEM methodnumerical dosimetrythree compartment head model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Physiology (general) (92C30) Analysis of variance and covariance (ANOVA) (62J10) Boundary element methods for boundary value problems involving PDEs (65N38)

Related Items (3)

Deterministic-stochastic modeling of transcranial magnetic stimulation featuring the use of method of moments and stochastic collocation ⋮ A novel algorithm for the stochastic analysis of electric field problems considering material and spatial uncertainties ⋮ Stochastic-deterministic boundary element modelling of transcranial electric stimulation using a three layer head model

Cites Work

• Mixed finite elements in \(\mathbb{R}^3\)
• On the use of the boundary element analysis in bioelectromagnetics
• Stochastic sensitivity of the electromagnetic distributions inside a human eye modeled with a 3D hybrid BEM/FEM edge element method
• The electromagnetic-thermal dosimetry for the homogeneous human brain model
• Stochastic Finite Element Method for Torso Conductivity Uncertainties Quantification in Electrocardiography Inverse Problem
• Variance-Based Global Sensitivity Analysis via Sparse-Grid Interpolation and Cubature
• A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
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