EEG Classification with Discrete Wavelet Transforms and Energy Distribution

Author(s) Information

Miguel Contreras, California Polytechnic State University - San Luis ObispoFollow
Javier I. Suarez, California Polytechnic State University - San Luis ObispoFollow

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

Date

6-2014

Primary Advisor

Xiao-Hua (Helen) Yu

Abstract/Summary

The overall aim of this investigation is to allow paralyzed individuals to regain motor movement with thought controlled robotic devices and in doing so provide them with a higher level of independence. The specific goal of this project is to classify EEG movement signals through a combination of discrete wavelet transforms and energy distribution. Using the energy distribution of these signals a neural network can be implemented to more accurately differentiate distinct motor movements.

URL: https://digitalcommons.calpoly.edu/eesp/272