Thesis supervisor: György Kozmann
co-supervisor: Zoltán Juhász
Location of studies (in Hungarian): University of Pannonia, Faculty of Information Technology, Department of Electrical Engineering and Information Systems, H-8200 Veszprém, Egyetem str. 10. Abbreviation of location of studies: PE
Description of the research topic:
EEG technology has emerged as a new method for studying the electrical activity of our brain. This has important applications in diagnostics (epilepsy), cognitive studies, and brain-computer interface applications (alternative interfaces and rehabilitation).
The goal of this research is to advance the theory and algorithmic techniques of EEG processing, focusing on high-resolution EEG imaging, functional mapping and BCI applications.
Preliminary results can be found in the following publications:
1. Roberta Grech, Tracey CassarEmail author, Joseph Muscat, Kenneth P Camilleri, Simon G Fabri, Michalis Zervakis, Petros Xanthopoulos, Vangelis Sakkalis and Bart Vanrumste, Review on solving the inverse problem in EEG source analysis, Journal of NeuroEngineering and Rehabilitation, 2008 5:25
2. Han-Jeong Hwang , Soyoun Kim , Soobeom Choi , Chang-Hwan Im, EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey, International Journal of Human-Computer Interaction, Vol. 29, Iss. 12, 2013
3. Nicolas-Alonso LF, Gomez-Gil J. Brain Computer Interfaces, a Review. Sensors. 2012; 12(2):1211-1279.
Number of students who can be accepted: 1
Deadline for application: 2016-11-15
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).
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