Biocybernetics and Medical Robotics Research Group

Leader of research group: Dr. Zoltán Karádi

MS

The group's activities

Our research group was established as a result of the targeted cooperation of the UP Medical School with the UP Faculty of Engineering and Information Technology (MIK) for more than 2 years. Our goal is to create a multidisciplinary network of researchers and teachers using our research (from basic research to product development) and educational activity directions, which, in addition to providing opportunities for high-quality research and educational results that can be used in industry and even on the international market also fits perfectly with the Center for Biomedical Engineering and Innovation concept.

Our research directions

  • numerical mathematics; development of 3D Electrical Impedance Tomography and Spectroscopy procedures
  • medical cybernetics - electrophysiological study of the central nervous system (as a very complex regulatory system)
  • application opportunities of artificial intelligence in medical and industrial robotics

Our directions of education and curriculum development

  • finalization of the content and formal elements of the medical cybernetics subject
  • development of an elective subject in medical robotics for medical education and health sciences and technical education
  • an updated reinterpretation and further development of the existing “Robotics” subject at the MIK

Commitments

Comparative clinical trial to develop a new type of diagnostic method for non-alcoholic fatty liver disease (in mixed patients):

  • 2 Q1 publications (methodology, results of human and animal model experiments)
  • 1 Q2 journal article (description of experimental results so far)

Development of a bioimpedance-based, non-destructive virus infection detection method:

  • 1 Q2 journal article (description of experimental results so far)

Numerical mathematical methods; development of 3D Electrical Impedance Tomography procedures

  • 1 Q1 journal article (self-invented numerical method based on “material discretization”)

Robotics - technical and medical developments today (on the way to the 21st century)

  • 1 review article (Q2)

Cooperation

  • Óbuda University Physiological Controls Research Group, János Neumann Doctoral School of Applied Informatics and Applied Mathematics
  • Department of Surgery, University of Szeged Faculty of Medicine
  • “Josip Juraj Strossmayer” University, Osijek, Croatia
  • Subotica Tech College of Applied Sciences, Subotica, Serbia

Researchers

Ildikó Fuchs

Ágnes Gonda

Nina Győrfi

Student

Alexandra Júlia Hencz

Ph.D. doctoral student

Ildikó Jancskárné Anweiler

Prof. Dr. Zoltán Karádi

Head of unit

István Kecskés

Prof. Dr. Mihály Klincsik

Dr. Andor Magony

Lili Nádasdi

Student

Ákos Odry

Dr. Péter Odry

Dr. József Pál

Dr. László Péczely

senior lecturer

Dr. Zoltán Sári

Dr. Attila Sik

innovation

Dr. Attila Tóth

application development

Zoltán Vizvári

technical development

Projects

Comparative clinical trial to develop a new type of diagnostic method for non-alcoholic fatty liver disease (clinical outpatient material)

The aim of the research

Development of a new type of bedside, non-invasive, low-cost device and procedure that would detect significantly less fat (less than 25%) at a lower cost than current diagnostic methods.

The research process

Study of the bioimpedance spectrum of morbidly obese patients (patient material of the Department of Surgery, Prof. Dr. András Vereczkei); bioimpedance study of patients with other endocrine diseases who are morbidly obese (patient material of the 1st Department of Internal Medicine, Prof. Dr. László Bajnok); bioimpedance study of patients with carcinoma of the liver (patient material of the Department of Surgery, Dr. Károly Kalmár Nagy); bioimpedance study of patients with liber fibrosis (patient material of the 1st Department of Internal Medicine, Dr. habil Gabriella Pár).

Development of a bioimpedance-based, non-destructive virus infection detection method

The aim of the research: rapid detection of pathogens; early confirmation of the presence of the infection is one of the most important tasks in stopping and preventing the spread of the disease. Our successful developments would make it possible to routinely and quickly detect viruses that cause infections.

The bioimpedance-based measurement method we developed is suitable, with virus-dependent dynamics (Zika virus in the present experiment), to detect the early phase of the infection, days before the detection possibilities of today’s methods. In the next stage of our research, the early detection of particularly dangerous, BSL-4-level, viral infections could provide an opportunity for rapid intervention in the case of epidemics.