Identifikacija, analiza i klasifikacija kretanja zgloba kolena
Author
Petrović-Savić, Suzana R.
Mentor
Devedžić, Goran
Committee members
Manić, Miodrag-
Ristić, Branko
Filipović, Nenad

Adamović, Dragan

Metadata
Show full item recordAbstract
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
defi...cient/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.