Title page for ETD etd-11082006-160310

Type of Document

Master's Thesis

Author

Adcock, David Brooks, Jr

Author's Email Address

dbadcock@ncsu.edu

URN

etd-11082006-160310

Title

Rapid Protoyping of a Single-Channel Electroencephalogram-Based Brain-Computer Interface

Degree

Master of Science

Graduate Program

Biomedical Engineering

Advisory Committee

Advisor Name	Title
Edward Grant	Committee Chair
Lianne Cartee	Committee Co-Chair
John Muth	Committee Member

Keywords

Neural Networks
brain computer interface
EEG

Date of Defense

2006-11-03

Availability

unrestricted

Abstract

This work describes the design, construction and implementation of a single-channel,
electroencephalogram-based (EEG) brain-computer interface (BCI) for the prediction of a single-degree-
of-freedom kinematic variable. The system employs a custom-built EEG amplifier to increase
noise rejection and decrease the overall cost of the BCI. The EEG amplifier output is read into Matlab
synchronously with an analog elbow-angle measurement taken from the test subject?s left arm. Sam-pling
is done at 300Hz using a 12-bit National Instruments PCI-6025E data acquisition card. Data
is software filtered, processed, and logged in Matlab in real-time on a standard PC. At the end of
an initial data acquisition period, a feed-forward backpropagation artificial neural network (ANN) is
briefly trained off-line to predict subject elbow angle based solely on recorded EEG activity. Upon re-suming
recording, the system is accurately able to predict the test subject?s elbow angle in real-time.
If employed in a robotic system, this BCI would have applications in rehabilitation robotics, search
and rescue, tele-robotics and exoskeleton research.

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