Bernard Grundlehner (M’12) received the M.Sc. degree in electrical engineering from the University of Twente, Enschede, The Netherlands, in 2002. He started his career in the area of automotive R&D, focusing on acoustic signal processing, speech intelligibility, and multimedia integration. He joined imec, Eindhoven, The Netherlands, in 2007, where he has been working on several topics related to biomedical signal analysis, including ECG analysis, emotion monitoring and bio-acoustics, in which he focused on multivariate signal processing, pattern recognition, and statistics. He is currently responsible for the development of the Wearable EEG platform, algorithms for EEG signal improvement, clinical validation of the EEG prototypes and industrialization. He has (co-) authored over 25 papers and conference proceedings in the field of biomedical signal processing and acquisition.
JBHI, Featured ArticlesWearable, Wireless EEG Solutions in Daily Life Applications: What are we missing?
V. Mihajlović, B. Grundlehner, R. Vullers, J. Penders To take full advantage of noninvasive surface EEG recordings, EEG technology has to be advanced to a level that it can be used in daily life activities. Furthermore, users have to see it... Read more
Posted on 16 DEC 2014