Head of the Research Laboratory
György Kozmann, DSc, Professor Emeritus
Activity of the Research Laboratory
The essential goal of the lab is to promote the solution of up-to-date healthcare problems by the use of advanced measuring and information technologies. A significant part of the research capacity is devoted to the non-invasive brain and cardiac diagnostic methods by the use of high-resolution bioelectric imaging technologies. The focus of activities is on the interpretation of the multi-lead measurements by statistical and modelling procedures. An important topic of the lab is the personalized multi-component nutrition analysis and synthesis, furthermore, the development and research of intelligent telediagnostic homecare information systems containing therapeutic units. The research projects are sponsored by TAMOP national and EU funds. Because of the professional management of interdisciplinary matters, an intensive scientific and technological cooperation has been established with some of the Hungarian industrial and healthcare institutions i.e.: Cardiological Center of the Semmelweis University, National Institute of Clinical Neurosciences, Innomed Inc. and the County Hospital Csolnoky Ferenc of Veszprem.
The following results have been obtained on the informatical, modelling and signal processing research of bioelectric imaging methods:
- Elaboration of measurement solutions related to electrocardiac imaging,
- Elaboration of modelling and statistical sudden cardiac death (SCD) risk assessment methods, based on ECG mapping,
- Elaboration of a new approach related to the solution of the ill-posed inverse problem of electrocardiography,
- Validation of the former results by using realistic heart and torso models,
- Localisation of epileptic focuses based on EEG measurements,
- Investigation of the focus localisation accuracy by modelling,
- Investigation of the brain motor activity in normal and pathological cases.
Results obtained on the field of nutrition analysis and synthesis:
- The application of artificial intelligence methods for the analysis of nutrition habits and for the synthesis of personalized menus.
Results obtained on the topic of telediagnostic systems:
- Application of knowledge models for the elaboration of intelligent home monitoring systems.
- Study of large healthcare databases to explore the optimal patient pathways.
- Kósa I, Vassányi I, Nemes A, Hortobágyi J, Kozmann G.: Stress ECG utilization in the evaluation of patients with chest pain: the real practice in Hungary with 10 million inhabitants. Int J Cardiol. 2011 May 19;149(1):137-9.
- Kellerová E, Szathmáry V, Kozmann G, Haraszti K, Tarjányi Z.: Spontaneous variability and reactive postural beat-to-beat changes of integral ECG body surface potential maps. Physiol Res. 2010;59(6):887-96. Epub 2010 Jun 9.
- de Vico Fallani F, Astolfi L, Cincotti F, Mattia D, la Rocca D, Maksuti E, Salinari S, Babiloni F, Vegso B, Kozmann G, Nagy Z.: Evaluation of the brain network organization from EEG signals: a preliminary evidence in stroke patient. Anat Rec (Hoboken). 2009 Dec;292(12):2023-31.
- Kozmann G, Haraszti K, Préda I.: Beat-to-beat interplay of heart rate, ventricular depolarization, and repolarization. J Electrocardiol. 2010 Jan-Feb;43(1):15-24.
- Gaál B, Vassányi I, Kozmann G.: A novel artificial intelligence method for weekly dietary menu planning. Methods Inf Med. 2005;44(5):655-64.
Biography of the Head of the Laboratory
György Kozmann, MSc (electrical engineering Budapest University of Technology, 1964), CSc (1981), DSc (2001), professor (University of Pannonia), head of the Centre for Medical Informatics Research & Development, Faculty of Information Technology, Veszprem. Since 1998, full-time lecturer at the University of Pannonia. Currently professor emeritus at the University and (part-time) at the Research Institute for Materials Science, Hungarian Academy of Sciences. Member of several academic committees, board member of the International Medical Informatics Association (IMIA) and the International Society of Electrocardiology (ISE). Former president of the John von Neumann Computer Society, editor-in-chief of IME, the Hungarian journal of health managers. Professional interests: healthcare information systems, measurement and interpretation of bioelectric phenomena and telemedicine.