Research projects
Current research projects investigated in the NeuroTechnology lab
Current brain-in-the-loop systems often rely on generic parameter configurations that overlook inherent neural variability. This research aims to improve system performance by implementing closed-loop-optimization to personalize parameters for each user and adapt them in real-time.
Using deep learning and traditional machine learning to create objective assessments of longitudinal progress of Parkinson’s disease.
Dutch large scale consortium for closed-loop interaction with the brain.
Chronic stroke patients with language deficits can profit from an individualized BCI-supported language training protocol.
Using physiological signals and spontaneous behavior to automatically monitor attention.
