Projects
Distributed signal processing algorithms for auditory attention detection with chronic EEG sensor networks KU Leuven
Assessment of electrode pressure and signal quality of improved wearable EEG headset prototypes University of Antwerp
Early detection of cognitive decline from EEG responses in AD risk group KU Leuven
Distributed signal processing algorithms for wireless EEG sensor networks with applications in auditory-based brain-computer interfaces KU Leuven
Electroencephalography (EEG) is a cheap and non-invasive neuromonitoring technique to measure electrical potentials generated by the brain. Recently, the concept of a wireless EEG sensor network (WESN) has been proposed, in which the head is covered with a multitude of EEG nodes with facilities for local signal processing (SP) and wireless communication. Since they are amenable to extreme miniaturization and low-power system design, it is ...
Distributed signal processing algorithms for wireless EEG sensor networks with applications in auditory-based brain-computer interfaces. KU Leuven
Mental state change detection from EEG by using multi-channel information theoretic metrics. KU Leuven
Brain Computer interfacing: from visual to motion and speech decoding/Detection of enhancement and decline in cognitive abilities from EEG responses KU Leuven
In Brain-Computer Interfacing (BCI), brain activity is recorded and translated into user-intended actions. Several studies have successfully employed BCIs to replace lost or impaired functionality in patients by circumventing disconnected or disfunctional neural pathways. In our work we focus on scalp EEG as well as Electrocorticography (ECoG), a partially invasive recording technique, for which develop stimuluation paradigms and decoders ...
Localizing Cortical Reward Prediction Error Signals Using Combined EEG and fMRI Ghent University
ACC may be involved in reward processing, which is reflected in EEG as 'reward positivity' . We aim to eatablish which part of the brain is producing the reward positivity. A novel design--a combined fMRI/EEG study with a modified time-estimation task will be conducted to explore this question, which will also help clear the role of ACC in reinforcement learning.