Application of stochastic finite element methods to study the sensitivity of ECG forward modeling to organ conductivity

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 1, 2008, Pages 31-40

  Geneser, Sarah E ^a   Kirby, Robert M ^a   MacLeod, Robert S ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Electrocardiographic forward problem; Polynomial chaos; Stochastic finite elements; Stochastic Galerkin; Stochastic processes; Uncertainty quantification

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER SIMULATION; ELECTRIC CONDUCTIVITY; FINITE ELEMENT METHOD; RANDOM PROCESSES; SENSITIVITY ANALYSIS;

ELECTROCARDIOGRAPHIC FORWARD PROBLEMS; POLYNOMIAL CHAOS; STOCHASTIC FINITE ELEMENTS; STOCHASTIC GALERKIN; UNCERTAINTY QUANTIFICATION;

ELECTROCARDIOGRAPHY;

ANALYTICAL PARAMETERS; ARTICLE; CONDUCTANCE; DIAGNOSTIC ACCURACY; ELECTROCARDIOGRAPHY; FINITE ELEMENT ANALYSIS; GEOMETRY; MONTE CARLO METHOD; PROBABILITY; QUANTITATIVE ANALYSIS; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; THORAX; TRUNK; UNCERTAINTY;

BODY SURFACE POTENTIAL MAPPING; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRIC CONDUCTIVITY; ELECTROCARDIOGRAPHY; FINITE ELEMENT ANALYSIS; HEART CONDUCTION SYSTEM; HUMANS; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; STOCHASTIC PROCESSES;

EID: 37349053530     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.900563     Document Type: Article

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