Faculty Mentor's Department: Electrical and Computer Engineering

Telephone Number and/or E-mail: 678-3650, bmorshed@memphis.edu

Project Description: The primary research question that this project aims to address is how scalp electroencephalogram (EEG) data be effectively used to develop personalized instruction plan for children with development delays. Scalp EEG monitors synchronous neuronal activities in the brain that relates to various degrees of cortical functions. Multi-electrode EEG configurations (eg. International 10-20 system) allow source localization in 3D space to identify the active brain region in temporal domain. The recorded signals are classified in alpha, beta, gamma, delta, theta, and mu waveforms based on frequency contents. Beta waves (13 to 30 Hz) from frontal (and parietal) lobes are known to intensify during alert, engaged and working state of the brain. This project develops a wireless EEG system for easy and immediate feedback of children with developmental delays. This is extra challenging to determine for children who have certain developmental delays such as autism, cerebral palsy or other delays that make it difficult to see typical responses. By recording EEG responses remotely, we expect to be able to identify teaching strategies are the most effective for an individual child with severe development delays.  Analysis of data will allow the formulation of personalized instruction plans and improve classroom curriculum.

Requirements for Student Applicants: Students must be prepared to work on programming of the software for the wireless EEG system, data collection and analysis. Students with previous experiences with programming languages (C++/Visual C/Visual Basic etc.), Matlab, database software, and statistical analysis will be given preference. Adherence to strict protocol, tidy record keeping, diligently, and good oral and written communication skills are mandatory.

Starting Date: To be negotiated

Method of Compensation (Volunteer, Academic Credit, or Stipend): Volunteer