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Project Reports 2004 |
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| Characteristics of
antral follicles and the ability of in vitro ova maturation |
| Leader: |
Prof. Dr. Veljko
Vlaisavljević |
| Participants: |
Prof. Dr. Damjan Zazula;
Boris Cigale, MSc; Jurij Munda |
| Project partners: |
Teaching Hospital of
Maribor |
| Financed by: |
Ministry of Education,
Science and Sport of the Republic of Slovenia |
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In the year 2004 we improved the segmentation algorithm based on continuous wavelet transform which detects ovarian follicles in 3D ultrasound images. Together with a project partner from the Teaching Hospital of Maribor we created a larger database of images, which is used as a test population for the algorithm’s success evaluation. Beside the images in Cartesian coordinates the images in cylindrical coordinates can now also be used. In the year 2004 we began to develop an algorithm for tracking the growth of a single follicle though a few days of maturation period.
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| NEW - Neuromuscular Assesment in the Elderly Worker |
| Leader: |
Roberto Merletti (Politecnico
di Torino, Italy) |
| Participants: |
Prof. Dr. Damjan Zazula,
Dr. Dean Korošec, Aleš Holobar |
| Project partners: |
Politecnico di Torino |
| Financed by: |
EU 5 FW |
The NEW (Neuromuscular Assessment in the Elderly Worker) project addressed non-invasive assessment of muscle properties, the prevention of muscle disorders and a reduction of their consequences. Our main contributions were on the extraction of information from the raw signals detected on the muscles during their contraction, specifically on the decomposition of surface EMG signals to complete motor unit (MU) firing patterns and their action potentials (MUAPs).
We developed four novel approaches to the decomposition of multichannel convolutive mixtures of close-to-orthogonal pulse source signals. The first two approaches are based on time-frequency analysis, the third one on the higher-order statistics, while the fourth one, the so-called correlation-based decomposition, utilizes a novel blind source separation concept. The performance of decomposition techniques was tested on both synthetic and real surface EMG signals. The latter were recorded in the LISiN laboratory at Politecnico di Torino, Italy, during a low-force isometric contraction of dominant biceps brachii muscle of 10 subjects. All decomposition approaches proved highly noise resistant, while successfully decomposing the surface EMG signals into their constituent motor unit action potential trains. The correlation-based approach was patented at the Slovenian Intellectual Property Office (Slovenian Patent No. P-200400027 from January 2004).
Project's official site: http://www.lisin.polito.it/new/
Project's local site:
http://storm.uni-mb.si/new/ |
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| CoLoS - Conceptual Learning of
Science(American-European project) |
| Leader: |
Prof. Dr. Damjan Zazula |
| Participants: |
Asst. Prof. Dr. Danilo Korže, Dr. Dean Korošec, Dr. Božidar
Potocnik, Dr. Aleš Holobar, Matjaž Divjak, MSc, Jurij Munda |
| Financed by: |
This project does not have permanent financial support |
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This is a permanent project, aimed at developing and constructing software tools that will enhance the comprehension of basic scientific fields (for example physics, chemistry, or computer science). Special emphasis has been placed on an intuitive approach and computer-assisted learning. In 2004, the System Software Laboratory limited their activities in CoLoS to two meetings with the partners from the University of Ljubljana. A possible co-operation in developing teaching applets for computer science was discussed.
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