o:716 Identifikacija, analiza i klasifikacija kretanja zgloba kolena : doctoral dissertation sr Gait is a fundamental human activity. One of the main joints that participate in walking process is knee joint. This joint is considered to be the largest and most complex joint in human body. This complexity comes from possibility of translation and rotation along and around all axes. All of these movements have corresponding pattern. Main purpose of this doctoral thesis is to identify and analyze standard values and patterns of basic movement parameters of healthy individuals. Experimental research was done in Clinical Centre Kragujevac on healthy individuals and on patients with deficient/diseased soft tissue and/or cartilaginous knee structures. Three systems were used for acquiring data – OptiTrack, Kinetic XBOX camera and simple web camera. Mathematical model of a knee was created for calculating identified gait parameters. It is concluded, with a help of statistical methods, that there is a significant difference in gait pattern between healthy individuals and patients with deficient/diseased knee joint structures. For the purpose of getting objective results, models for predicting/classification (based on logistic regression and neural network models) possible damage/illness of knee joint based on walk parameters values and gait curves were created. Models for predicting/classification are valued by diagnostic tests. Results showed that this approach can help in better understanding of processes in knee joint that occur during walking, can help to achieve objectivity in walking process evaluation, improve rehabilitation process depending on level of recovery of the patient, etc. ID=523264405 ; D-2973 91552101 4112 91552100 523264405 2016-10-27T17:58:23.053Z 45 no 46 mentor Suzana R., 1983- Petrović-Savić 2016 63 mentor Goran, 1962- Devedžić 2016 63 predsednik komisije Miodrag, 1957- Manić 2016 63 član komisije Branko, 1962- Ristić 2016 63 član komisije Nenad, 1970- Filipović 2016 63 član komisije Dragan, 1960- Adamović 2016 VI, 183 lista 6943305 http://phaidrabg.bg.ac.rs/o:716 no yes 4 2016-10-27T17:58:23.320Z 70 mechanics, MoCap systems, parameters of knee joint, logisticregression, neural networks mehanika, sistem za snimanje kretanja, parametri kretanja zgloba kolena, logistička regresija, neuronske mreže 004.942.32:531.14/.15;004.942.32:519.248 Zglob kolena - Kretanje - Računarska simulacija Biomehanika 1738 34A03 2016