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Projects / Programmes source: ARIS

Numerično intenzivne metode v elektrotehniki in bioelektromagnetiki (Slovene)

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Periods
January 1, 1999 - December 31, 2003
Research activity

Code Science Field Subfield
1.01.00  Natural sciences and mathematics  Mathematics   
2.06.00  Engineering sciences and technologies  Systems and cybernetics   
1.07.00  Natural sciences and mathematics  Computer intensive methods and applications   

Code Science Field
T190  Technological sciences  Electrical engineering 
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
B115  Biomedical sciences  Biomechanics, cybernetics 
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  06895  PhD Izidor Hafner  Computer intensive methods and applications  Researcher  2001 - 2003  459 
2.  02115  PhD Borut Jurčič Zlobec  Mathematics  Researcher  2001 - 2003  128 
3.  18459  PhD Jan Klemenčič  Metrology  Researcher  2001 - 2003  17 
4.  10269  PhD Dejan Križaj  Systems and cybernetics  Researcher  2001 - 2003  308 
5.  06282  PhD Anton Rafael Sinigoj  Telecommunications  Researcher  2001 - 2003  127 
6.  21102  PhD Boštjan Šimunič  Computer intensive methods and applications  Researcher  2001 - 2003  580 
7.  03099  PhD Vojko Valenčič  Systems and cybernetics  Head  2001 - 2003  321 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,752 
Abstract
Our research activity concerns scientific problems in the fields of bioelectromagnetism and electrotechnics sharing common use of numerically intensive methods. These methods are usually employed to solve partial differential equations of several types, which are used for describing electromagnetic fields as well as some chemical processes in biological tissues. Since biological structures involve mainly non-homogenous substructures and posess anisotropic characteristics the aforementioned computations can become very complex. The first field of research involves visualizations of the Visible Human data-sets and patient-specific data-sets (obtained by MRI or CT), and it’s segmentation. Realistic 3D visualizations of segmented 2D image data play significant role in surgery planning, education, diagnostics and many other fields. The algorithms for semi-automatic segmentation of badly-determined structures are based on active contours (snakes) principle. The second research area applies to numerical computation, analysis and modeling of electromagnetic fields (EMF) in human tissue. In order to increase the speed of numerical computations, this research area is focused on development of original algorithms on finite elements and on the study of iterative methods on subdomains. It was the improvement of the computer technology that enabled this area to develop. Focus of the third research area is set on non-invasive method for measuring biomechanical properties of skeletal muscles by detecting the muscle belly displacement as a response to electrical stimulus/stimuli. Study involves: research of skeletal muscles’ contractile properties, analysis of responses to electrical stimulus/stimuli and optimization of stimulating electrodes’ shape, size and position. This optimization is based on cylindrical model of the lower part of the leg and on calculations of EMF in m. tibialis anterior as a result of electrical stimulation. The fourth field of our research concerns numerically aided simulation and visualization of biophysical phenomena. To describe a physical or biological system a mathematic model – a set of ordinary linear or nonlinear differential equations – is needed. These equations are based on fundamental physical laws of nature, therefore changing their parameters enables the animation of natural phenomena. This field has been developing for past few years and its applicative side has already proven beneficial and useful at conceptual teaching and learning.
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