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 cardiac diagnostic methods based on 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 development of automated arrhythmia detection algorithms with special regard to the identification of atrial fibrillation which significantly increases the risk of stroke. Investigations related to the body surface detectability of increased ventricular bioelectric lability (leading to elevated sudden cardiac death risk) broaden the spectrum of the lab even further. The research projects are sponsored by national and EU funds. In order to the professional management of interdisciplinary matters, an intensive scientific and technological cooperation has been established with the Hungarian Academy of Sciences and some leading healthcare institutions, i.e., Institute of Technical Physics and Materials Science, Heart and Vascular Center of the Semmelweis University, National Institute of Clinical Neurosciences.
The following results have been obtained on the informatical, modelling and signal processing research of bioelectric cardiac 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
- Development of an efficient algorithm for the distinction of atrial fibrillation from other arrhythmias based on single-channel ECG measurements
- Development of a new method for sudden cardiac death risk assessment based on single-channel ECG measurements
- Tuboly G, Kozmann G, Kiss O, Merkely B.: Atrial fibrillation detection with and without atrial activity analysis using lead-I mobile ECG technology. Biomed Signal Process Control. 2021 Apr;66:102462.
- Issa MF, Tuboly G, Kozmann G, Juhasz Z.: Automatic ECG artefact removal from EEG signals. Measurement Science Review. 2019 Jun 26;19(3):101-108.
- Kozmann G, Tuboly G, Szathmáry V, Švehlíková J, Tyšler M.: Computer modelling of beat-to-beat repolarization heterogeneity in human cardiac ventricles. Biomed Signal Process Control. 2014 Nov;14:285-290.
- Kozmann G, Tuboly G, Tarjányi Z, Szathmáry V, Švehlíková J, Tyšler M.: Model interpretation of body surface potential QRST integral map variability in arrhythmia patients. Biomed Signal Process Control. 2014 Jul;12:3-9.
- 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.
- 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.
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 Medical Informatics Research & Development Center and the Bioelectric Cardiac Imaging Research Laboratory, Faculty of Information Technology, Veszprem. Since 1998, full-time lecturer at the University of Pannonia. Previously, scientific advisor at the Institute of Technical Physics and Materials Science, Hungarian Academy of Sciences (MTA MFA). Currently, professor emeritus at the University and (part-time) at the MTA MFA, and member of the Committee on Automation and Computer Science. Former 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 Interdisciplinary Hungarian Healthcare (IME), the Hungarian journal of health managers. Professional interests: healthcare information systems, measurement and interpretation of bioelectric phenomena and telemedicine.