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<big>* Study of biological materials and its multi-scale hierarchy, creation of simplificated models with classical nonlinear continuum mechanics theory. </big>
 
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<big>* Characterization of destrusor-tissue model is based in the representation (based on hyperelastic matrix, and viscoelastic fibres)</big>
 
<big>* Characterization of destrusor-tissue model is based in the representation (based on hyperelastic matrix, and viscoelastic fibres)</big>
  
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Revision as of 13:03, 13 June 2018

Research Lines & RTD Project in Biomedical Engineering

Computational Fluid Dynamics
Solid and Structural Biomechanics
Health Decision Support Systems
Cardiovascular System
Biomaterials
Artificial Intelligence
Neurosciences
Medical-GiD
Urology
Pre and post processing


Computational Fluid Dynamics

* Stabilized finite element and finite difference methods in incompressible biofluid mechanics.

* Bio-Absorption theory application in vessel structures for atheroma plack and biochemical studies.

* Finite element methods for fluid flow and analysis.

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* Numerical methods applied in multidisciplinary problems in fluid biomechanics (fluid structure interaction, thermal flows, absorption theory etc).

* Coupling 3D with 2D or 1D models to improve study details.

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Solid and Structural Biomechanics

* Finite element methods for linear and non linear analysis of solids structures.

* Coupled problems in solid biomechanics (fluid structure interaction, thermal flows, absorption theory etc).

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* Finite element methods for biomechanical devices analysis and prototype design (stent, prosthesis, etc).

* Finite element methods analysis of solid biology structures (hearth mechanics, vessel stresses response, etc).


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Health Decision Support System

* Development of intelligent platform to help physician work, informatization of routinely medical work.

* Finite element use to improve medical diagnosis and to perfect analysis processes.

* Biostatistical models applied ad hoc for several medical problems and cases.

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* Bioinformatic technology solutions to coupled finite elements methods with biostatistical tools and artificial intelligence.

* Monte-Carlo methods for stochastic analysis in computational biomechanics and in biofluid dynamics.

* Parameter identification via stochastic methods.

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* Coupling of TIC solutions, stochastic methods and finite element methods to improve and get faster medical analysis and decision

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Computational Fluid Dynamics

* Development of simulation platform for cardiovascular problems.

* Finite element for the simulation of problematic scenarios (aneurism, lumen obstruction, deformation, etc).

* Finite element for the study of cholesterol and platelets vessel absorption.

* 1D-Vessel model of whole human body. General information coupled to specific 2D or 3D studies.

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* Reconstruction of real geometries starting by DICOM images.

* Automatic 2D and 3D geometries for vessel obstruction or aneurisms formation analysis.

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Biomaterials

Development of biocompatible geometries for internal or external devices (stents, internal prosthesis, etc).

* Finite element for stress testes with biomaterials and medical devices.

* Design and study of biocompatible devices for human medical use or experimental use.

*

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* New constitutive models for biomaterial and shape memory materials.

* Parameter identifications in constitutive models of biomaterials.

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Artifial Intelligence

* Development of artificial neural networks (ANN) for optimization, inverse analysis and medical decision support fast decision taking.

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* Integration of artificial neural networks (ANN) in decision support systems combining wireless sensors, computer simulations methods and artificial intelligence technology.

*

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Development of artificial intelligence techniques based in agent simulations.

* Applications of artificial neural networks (ANN) technology for parameter identification in constitutive laws

* Development of intelligent finite element methods via Al Technology

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http://www.cimne.com/flood/

Neursciences

* Finite element methods for the analysis of brain cellular activity in pathological and physiological scenarios.

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* 1D Finite element methods to study the propagations of neuronal signals in complex networks.

*

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Statistical methods to fast response in biochemical brain analysis.

* Dementia diseases studies: finite element methods and bioinformatic solutions to reinforce the investigation about the causes of several brain dysfunction.

* Amyloids, Polymers and Cerebral Membrane Characterization


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Medical-GiD

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Magnetic Resonance (2D) 2D Detail Edition/Generation


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Deformable isosurface model Meshing of heart and aorta
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Meshing of heart 3D heart


* Segmentation and 3D reconstruction of medical images.

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* Meshing of segmented geometries: creation of surface meshes or volume meshes.

* Visualization of 4D images (3D + time), creation of flux vectors and study of time developing in the image.


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* Anatomical real cases.

* Coupling with simulation programs and with finite element methods solver.

* Friendly platform and portability of the informatics solutions adopted.


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Urology

* Finite Element Method for the simulation of the urinary bladder and its parts like the destrusor (little smooth muscle)

* Study of biological materials and its multi-scale hierarchy, creation of simplificated models with classical nonlinear continuum mechanics theory.


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* Characterization of destrusor-tissue model is based in the representation (based on hyperelastic matrix, and viscoelastic fibres)


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* Analisys of the interaction between bladder wall with urine modelled via the Particle Finite Element Method (PFEM)

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Pre and Post Proccesing

* Development and maintenance of GiD pre and post processing system (www.gidhome.com).

* Development of methods for generating structure and unstructured meshes.

*

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Development of input data technology for large scale computational problems.

* Graphical visualization techniques for large scale simulation problems.

* Generation of input data for finite element analysis from medical images.

* Meshless methods for parameterization of geometries for shape optimization problems.

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www.gidhome.com

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Published on 01/01/2009

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