Projects
Intelligent HUman-Machine Mechatronic System for Medical Applications (HUMANISM)
| Code |
Science |
Field |
| T000 |
Technological sciences |
|
Robotics haptic interface, medical image processing, robot-assisted surgery, colonoscopy simulator,
Organisations (9)
, Researchers (5)
0107 University of Nis, Faculty of Electronic Engineering
0004 University of Belgrade, School of Electrical Engineering
0020 University of Belgrade, Faculty of Transport and Traffic Engineering
0099 University of Nis, Faculty of Medicine
0104 University of Nis, Faculty of Mechanical Engineering
0112 University of Belgrade, Institute "Mihailo Pupin"
0188 University of Niš, Faculty of Sport and Physical Education
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
12346 |
PhD Danijela Z. Živković |
Physical training, motorial learning, sport |
Researcher |
2012 - 2019 |
28 |
0240 Innovation Center, School of Electrical Engineering in Belgrade Ltd (IC)
0245 Research & Development Center SENTRONIS JSC (IRC)
Abstract
Coupling of modern technologies: robotics, image processing, digital radiology and sensorics will lead to two systems: robotized system to assist vertebroplasty (RPVP) in interventional radiology and robotized colonoscopy simulator (RCS). The idea behind the two applications is for intelligent mechatronics interface which will provide safety and reliable intervention without radiation of operator. In the case of colonoscopy it will provide realistic simulation of interaction with bowel, leading to shorter training times. In both cases the function of interface will be supported with external diagnostics and magnetic measuring devices. The role of the interface is to transfer the information about interaction force between the slave robot with tissue to the master robot which, navigated by operator, and by using the models it is able to provide limitation of inadequate operators commands within safe zone. In robot supported RPVP external diagnostic system will consist of patient table, the X-rays diagnostics, as well as software for registration of 2D images into 3D model CT scans. The RCS uses an external sensor of permanent magnet location to record manipulation, deflection and colonoscope propagation during examination. Also a system for measuring force between operator hand and colonoscope as well as between the colonoscope tip and tissue will provide data needed for comprehensive models. The subsystem will be designed according to the medical safety and EMC norms.