
The jury awarded the second place to Bc. Jonas Nienhaus, a double degree student at RWTH Aachen University and Faculty of Electrical Engineering and Information Technology, Czech Technical University in Prague. By extracting more than a hundred parameters and classifying them with AdaBoost, he managed to differentiate between normal and epileptiform brain activity at the point of origin. The third place was taken by the team of Bc. Viktoria Lysenko and Bc. Jan Vimr from the Electronics and Communication study program at Faculty of Electrical Engineering. They designed a computationally fast algorithm that looks for a step change in the EEG signal character during the transition to an epileptic seizure, thereby detecting the onset of the seizure and its most likely source.
Information about Medical Electronics and Bioinformatics can be found at bio.fel.cvut.cz.
Photo: petr Neugebauer, SVTI FEL ČVUT