Thesis supervisor: István Vassányi
co-supervisor: István Kósa
Location of studies (in Hungarian): University of Pannonia, Faculty of Information Technology, Department of Electrical Engineering and Information Systems Abbreviation of location of studies: PE
Description of the research topic:
In the past years a significant effort at the MIRDC was devoted to the research of IT solutions for supporting diabetes management. This research topic is based on the past results in this field and also on a forthcoming larger scale (n=200) evaluation type clinical study coordinated by the University of Szeged in which our lifestyle logging technology is planned to be used. The main research directions are as follows.
Improving the accuracy of previous short term (4 h) blood glucose (BG) prediction models via improved algorithms modeling the dynamical behaviour CGM tissue sensor
Developing and training a special version of the BG prediction algorithm for time periods in and after social and mental stress, using clinical measurements
Analyzing the effect of gamification and personalized motivation in lifestyle logging in an outpatient clinical trial on applied telemedicine
Integrating qualitative, personalized BG prediction in lifestyle logging and validating it in an outpatient clinical trial on applied telemedicine
Preliminary results can be found in the following publications:
Benedek Szakonyi, Tamás Lőrincz, Ágnes Lipovits, István Vassányi. An Expert System Framework for Lifestyle Counselling. Proc. Int. Conf. eTELEMED 2018, Rome, 23-29 March 2018, pp.92-96
Szálka Brigitta, Kósa István, Vassányi István, Mák Erzsébet. Diabetesesek dietoterápiájának és önmenedzselésének támogatása mobilapplikációk használatával. Orvosi Hetilap, 2016, 157. évfolyam, 29. szám, 1147-1153. o.
Peter Gyuk, Tamas Lorincz, Rebaz A. H. Karim, Istvan Vassanyi. Diabetes Lifestyle Support with Improved Glycemia Prediction Algorithm. Proc. Int. Conf. eTELEMED 2015, Lisboa, Portugal, 22-27 February 2015, pp. 95-100.
Cooperating clinical partner for the planned research is the Military Hospital in Balatonfüred.
Number of students who can be accepted: 1
Deadline for application: 2018-12-21
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Login
