Overview
This was a course project at the EPFL Brain Computer Interaction (BCI) class at EPFL.
Background
Motor Imagery (MI) involves activation of the neural system while a person imagines performing a task or body movement without actually physically performing the movement. As changes in the brain rhythms are observed in the sensory-motor area of brain during planning and execution of movements, we are able to detect the synchronization and desynchronization of these rhythms during and after MI.
Project Goals
Under the supervision of a PhD student and in a group of four, we were to acquire EEG data and process it to detect the end of a motor imagery period.