Maarten de Vos
Junior Research Group leader "Methods for Neurocognitive Psychology" @ University of Oldenburg, Oldenburg, Germany.
Scientific advisor mBrainTrain (www.mbraintrain.com)
postdoctoral researcher @ neuropsychology, psychology, University of Oldenburg, Oldenburg, Germany (Prof. S. Debener), and affiliated with BIOMED.
postdoctoral researcher @ BIOMED, Electrical Engineering, KU Leuven, Leuven, Belgium (Prof. S. Van Huffel).
PhD in Electrical Engineering (title: Decomposition techniques with applications in neuroscience)
Master in Electrical Engineering, option biomedical techniques
Development of a smartphone-steered mobile EEG system.
Traditionally, EEG is recorded with expensive hardware in a highly controlled lab environment. In order to enable brain monitoring in daily life situations, we built a small, light-weight and wireless system that can be steered with Android software (e.g. on Sony smartphones). This makes the concept of fully mobile EEG-based BCI very realistic. In the near future, advanced machine learning routines will be integrated on the smartphone for a wide range of applications. My current research investigates how to best derive cognitive features that influence hearing and that can be used to steer hearing devices.
State-of-the-art analysis of neonatal EEG.
In the Neonatal Intensive Care Unit, traditionally only physiological parameters such as ECG, respiration and EMG are monitored. More recently, compressed two-channel or ideally more-channel EEG is recorded to continuously monitor the neonatal brain. However, the expertise to interpret the signal is usually not available around the clock. This translates to the need for automatic analysis tools that can support the neonatologist with reading the EEG. We developed a state-of-the-art neonatal seizure detector. More recently, we started working on automated interpretation of background EEG that contains valuable information about the outcome of the baby. This research is in collaboration with the BIOMED group of prof. S. Van Huffel (KU Leuven).
IEEE MLSP Technical Committee
M. De Vos, K. Gandras and S. Debener. Towards a truly mobile auditory brain-computer interface: Exploring the P300 to take away. Int J Psychophysiology, 2014, vol. 91, pp. 46-53.
M. De Vos, A. Vergult, L. De Lathauwer, W. De Clercq, S. Van Huffel, P. Dupont, A. Palmini and W. Van Paesschen. Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. Neuroimage, vol. 37, no. 3, Sep. 2007, pp. 844-854.
M. De Vos, W. Deburchgraeve, P.J. Cherian, R.M. Swarte, J.H. Blok, G.H. Visser, P.Govaert, S.Van Huffel. Automated artifact removal as preprocessing refines neonatal seizure detection. Clinical Neurophysiology, 2011, vol. 122, pp. 2345-2354.
B. Mijovic, K. Vanderperren, N. Novitskiy, B. Vanrumste, P. Stiers, B. Van den Bergh, J. Wagemans, L. Lagae, S. Sunaert, S. Van Huffel and M. De Vos. The Why and How of JointICA: Results from a Visual Detection Task. Neuroimage, 2012, vol. 16, pp. 1171-1185.
M. De Vos, J.D. Thorne, G. Yovel and S. Debener. Let’s face it, from trial to trial: Comparison of different single-trial N170 estimation procedures. Neuroimage, 2012, vol. 63, pp. 1196-1202.
For a full list, please visit http://homes.esat.kuleuven.be/~sistawww/cgi-bin/pub.pl or http://scholar.google.de/citations?user=xTjDXdQAAAAJ&hl=en