Loading...
Projects
Development of multivariable methods for analytical support to biomedical diagnostics
Research activity
| Code | Science | Field |
|---|---|---|
| B110 | Biomedical sciences | Bioinformatics, medical informatics, biomathematics biometrics |
| T121 | Technological sciences | Signal processing |
| T180 | Technological sciences | Telecommunication engineering |
Keywords
cardiogating systems, HRV artifact, BRR sequences, sympathovagal balance, individualisation
Organisations (4) , Researchers (1)
0038 University of Novi Sad, Faculty of Technical Sciences
| no. | Code | Name and surname | Research area | Role | Period | No. of publicationsNo. of publications |
|---|---|---|---|---|---|---|
| 1. | 06319 | Electronics and Electrical technology | Head | 2011 - 2019 | 51 |
0018 University of Belgrade, Faculty of Medicine
0039 University of Novi Sad, Faculty of Medicine
0100 Research and Development Institute Lola Ltd.
Abstract
The basic aim of this project is analytical support to the existing biomedical equipment. The sophisticated equipment that medical part of team uses generates a huge quantity of data (5MB). These data are difficult to correlate visually, without further processing. The final goal is to test the hypothesis established at Neurocardiological laboratory of Bezanijska kosa Hospital: the effect of medicine depends on symphatovagal balance and both the medicine and its quantity should be designed specifically to each patient. Regarding to the hypothesis, a system for automatic patient classification into 6 types and 72 subtypes would be designed. Intermediary results would include numerous highly dedicated biomedical processing methods, mainly for baroreflex analysis. Additional aim is to correlate 1D and 2D methods, since imaging improves diagnostics and it is orientated towards personalized medicine. This project segment is orientated towards development of advanced cardio-gating system that synchronizes hear beats and image acquisition in dynamic Roentgen equipment. Also, image visualization that combines images acquired using different energies will be incorporated into cardiologic diagnostics.