2 papers
cs.HC2026
Invasive and Non-Invasive Neural Decoding of Motor Performance in Parkinson's Disease for Personalized Deep Brain Stimulation
Matthias Dold, Volker A. Coenen, Bastian Sajonz +8
Decoding motor performance from brain signals offers promising avenues for adaptive deep brain stimulation (aDBS) for Parkinson's disease (PD). In a two-center cohort of 19 PD pati…
eess.SP2024
Exploring new territory: Calibration-free decoding for c-VEP BCI
J. Thielen, J. Sosulski, M. Tangermann
This study explores two zero-training methods aimed at enhancing the usability of brain-computer interfaces (BCIs) by eliminating the need for a calibration session. We introduce a…