2015
DOI: 10.1155/2015/465014
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An Electromechanical Left Ventricular Wedge Model to Study the Effects of Deformation on Repolarization during Heart Failure

Abstract: Heart failure is a major and costly problem in public health, which, in certain cases, may lead to death. The failing heart undergo a series of electrical and structural changes that provide the underlying basis for disturbances like arrhythmias. Computer models of coupled electrical and mechanical activities of the heart can be used to advance our understanding of the complex feedback mechanisms involved. In this context, there is a lack of studies that consider heart failure remodeling using strongly coupled… Show more

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Cited by 2 publications
(1 citation statement)
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“…In this paper we propose the use of computational intelligence models to replace Finite Element Analysis [8] or Boundary Element Analysis [7] in the determination of Ejection Fraction. We employed a Multilayer Perceptron Neural Network, an Extreme Learning Machine, Random Forests and Elastic Network Regression.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper we propose the use of computational intelligence models to replace Finite Element Analysis [8] or Boundary Element Analysis [7] in the determination of Ejection Fraction. We employed a Multilayer Perceptron Neural Network, an Extreme Learning Machine, Random Forests and Elastic Network Regression.…”
Section: Introductionmentioning
confidence: 99%