Medical Informatics

Activity of the research laboratory

The Laboratory is responsible for solving the problems of health care by the tools of advanced measurement and information technology. Most of the research capacity concentrates on the noninvasive diagnostics of the brain and the cardiovascular system, applying the so-called bioelectric imaging procedures. An important part of the activities are the modeling studies (motion analysis, bioelectric source definition) for understanding the biological systems, and the analysis and synthesis covering many components of dietary intake. More recently, a significant part in the Laboratory's activities is the development and research of an intelligent information system with remote diagnostic and treatment units assisting in home care. The development of these topics are guaranteed by “NKTH” (National Office for Research and Technology), “NTP”, EU and “TéT” (Hungarian Science and Technology Foundation) support. To handle the interdisciplinary issues properly the Laboratory intensively cooperates with some industrial and health care institutes (e.g., GE Healthcare Hungary, Semmelweis University’s Vein and Heart Surgery Clinic, as well as the Csolnoky Ferenc County Hospital).

Research results

Brain and heart examinations with bioelectric imaging procedures

  • The determination of the space and time dependent bioelectric sources of neurological mechanisms and the functional relationship between certain areas of the brain may help to understand the functioning of the brain, and the mapping of reparative mechanisms after diseases. The actual researches in the Laboratory are carried out in order to discover the post-stroke reparation process, comparing the results of these studies with the results of fMRI examinations. These researches are related to the NEUROMATH FP7 COST program.
  • The ECG mapping type measurements allow the use of all the body surface information to solve diagnostic tasks. Currently, the method is used to discover the necessary structural and functional condition of the so-called sudden cardiac death, using the parameters describing the changes of integral maps displaying the sequence of ventricular depolarization and spatial heterogenity of repolarisation by each cardiac cycle.

Modeling of biological systems

  • A multi-scale arm model has been developed, which aims to create a connection between the measurable macroscopic quantities (movement patterns, EMG signals) and the basic molecular units. The model sensitivity analysis is an essential part of the estimation process.
  • The estimation of the brain source activity (Brain Electro-Mapping, BEM) is in connection with the concept of available spatial resolution. While it is known that the EEG has a good temporal resolution (up to 2048Hz), its spatial resolution is relatively low. To improve this situation, a series of computational procedures “projects” back to the brain surface the potentials measured on the scalp. The examinations carried out studied the impact of different types of noises (geometry, conductivity, potential measurement) to the accuracy of source reconstruction.

Nutrition synthesis

  • The lifestyle and diet composition have a large impact on the prevention and treatment of the chronic diseases (cardiovascular diseases, diabetes, cancer, allergy) affecting a significant part of society. The Laboratory has carried out and implemented artificial intelligence methods which are able to analyze eating habits covering many parameters, and even supporting or substituting the work of human experts, these methods are able to synthesize personalized menu plan.

Remote diagnostic systems research

  • The health care costs can be significantly reduced by home caring of patients not necessarily needing hospital care. The main task of the remote diagnostic systems is the algorithmizing of the matured medical knowledge used in clinics: automatic generation of conclusions from the parallel tracking and interpretation of main physiological parameters. The Laboratory’s researches currently deal with the health preservation of the elderly and lonely age-group, the primary and secondary prevention issues, as well as the home, controlled rehabilitation issues.

Applying knowledge models (ontologies) in the health care

  • The specialty knowledge models (ontologies) designed by expert consensus can be automatically used in health information systems with applying appropriate formalism and technology. Such an application was the NEUROWEB system (international FP 6 R&D program), in which we used the stroke knowledge model for phenotype definition, intelligent literature searches, and the unified mapping of clinical databases.

Introduction of the head

thumb kozmann-gyorgyGyörgy Kozmann received the M.Sc. degree in electrical engineering from the Technical University of Budapest, in 1964, the C.Sc. (PhD) and D. Sc. degrees from the Hungarian Academy of Sciences in 1981 and 2001, respectively.
He is Professor of Medical Informatics, University of Pannonia, Veszprem, president of the Medical Informatics R&D Centre, of the Faculty of Information Technology, scientific adviser at the Research Institute for Technical Physics and Materials Science, Budapest, Hungary. Member of several academic committees and the management boards of international organizations. President of the Biomedical Division of the J. von Neumann Society, Editor-in-chief of the Hungarian periodical IME (Information and Management in Healthcare). Professional areas of interest: health information systems, measurement and interpretation of bioelectric phenomena, remote diagnostics.

the project is supported
hungarys renewal
szechenyi plan
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