Analysis of Brain Signal Generation for EEG

• Abstract
  • The overall goal of the WUSTL-BCI project is to have a brain-controlled interface (BCI) by means of a non-invasive electroencephalogram (EEG). The interface would then be used to control a hand exoskeleton for aiding in the rehabilitation of hand motor skills in people who suffer from severe motor impairment. However, the scope of BCIs is not limited to controlling the hand exoskeleton. It can be applied to just about any system that a person could otherwise control—personal computers, cars, and cell phones, just to scratch the surface. The 2D Control group focuses on identifying two sufficiently independent brain signals that can be used to control different processes, as in moving a mouse along a line and being able to click, or two parts of the same process, as in moving the mouse anywhere along a two dimensional plane. Applied to this project, 2D control would mean a second dimension of freedom for the motion of the hand exoskeleton.

• Goals
  • The current goal for the 2D-Control project is identifying the types of physical movements that generate the best signals for the EEG. These brain signals are the basis for the project, and without a functional understanding of how they work and how to generate a clean, consistent, and coherent signal, progress for any of the sub-projects would be extremely difficult.

• Equipment and Program
  • data into the computer, Emotiv® Control Panel, BCI 2000® Cursor Task, BCI 2000® StimPresentation, and BCI 2000® Offline Analysis were used.