Martin Billinger received the M.Sc. degree in electrical engineering from the Graz University of Technology, Graz, Austria. He is working toward the Ph.D. degree in computer science in the Laboratory of Brain-Computer Interfaces at the same university. His research interests include brain-computer interfaces, bio-signal processing, machine learning, mathematical modelling and effective connectivity analysis in the EEG.
TNSRE, Featured ArticlesFORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing
A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in braincomputer interfacing (BCI). The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and thresholding. FORCe is able... Read more
Posted on 3 SEP 2015