Thesis supervisor: Gusztáv Fekete
Location of studies (in Hungarian): ELTE IK Savaria Műszaki Intézet Abbreviation of location of studies: ELTE
Description of the research topic:
Motion capture analysis is a major tool in biomedical engineering to assess multiple sort of joint problems. In one hand, computational simulations based on mathematical modeling, multibody dynamics or finite element methods provides a useful methods to analyze how the different physical parameters influence the motion. On the other hand, these computational models need physical data input to accurately give an insight of the investigated phenomenon, may that be wear in the knee joint or the rehabilitation effect on human gait if backward walk is exercised.
The research includes the experimental investigation of backward and forward walking on patients with and without total knee replacements (TKRs). Our assumption is that the effect of backward walking will significantly enhance the rehabilitation of the knee joint. Besides the experiments, numerical analysis will be carried out on the TKRs to draw conclusions about the restored kinematics and the possible effect of wear.
The aim is to validate the new qualification method and also to explore the effect of traumatological surgeries on gait in the early post-operative period. Since different TKRs are available on the market, it is also important to know how well they can restore the physiological knee kinematics. Hungarian made and prototype TKRs will be also included into our investigation.
Required language skills: English B1 Recommended language skills (in Hungarian): English B2 Number of students who can be accepted: 2
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