Designing a BMI-based Robotic Arm using EEG and Motor Articulation Control
At the Mind Brain Center, we also use EEG activity to study the cortical process associated with execution of movements has been explored widely. To date, uncovering neural network dynamics associated with the execution or imagination of different movements has a substantial influence in boosting functional connectivity measures in the brain involved in the processing of motor movement.
Our focus is to understand the reconstruction mechanisms in a simple movement by exploring event-related potentials (ERPs) derived from electroencephalography (EEG) signals recorded during the (attempted) execution of motor movements in healthy subjects. We explore patterns of inter-regional couplings during, before, and after the tasks and these pattern features can be significantly employed to distinguish different tasks and are extracted to make classifiers of BCI systems with a good performance
