Projects:2014S1-26 Brain Computer Interface Control for Biomedical Applications

The aim of this project is to interpret EEG signals corresponding to lifting and dropping from an individual who has lost the use of their arms due to stroke using an Emotiv EPOC headset and categorize these signals with the use of a brain computer interface which sends them to an applicator that provides sensory feedback to the brain. This is a completely new project and does not expand on any previous projects. The final outcome is to achieve a brain computer interface to rehabilitate stroke patients, allowing them to regain independent movement of their arms. This project is a proof of concept, and future teams at the University of Adelaide will be able to expand on the already existing hardware and software this project will produce.

Project information

This project involves

High-Level Plan

NOTE: ALL THIS MAY ACTUALLY GO IN OUTLINE OF PROPOSED WORK

• Phase 1
  • Research brain computer interfaces and how they can be implemented.
  • Research EEG and Nueroplasticity.

• Phase 2
  • Create a design for an applicator used to move the user's arm up and down.
  • Create code in order to interpret, decipher and send the relevant data to the applicator to make it move.

• Phase 3
  • Construction of the applicator.
  • Final changes to code to ensure requirements are met.

• Phase 4
  • Testing to ensure the applicator is safe and functions correctly.

System Interaction

Caption

Team

Group members

• Mr Anthony Reveruzzi
• Mr Benjamin Traeger

Supervisors

• Associate Professor Mathias Baumert
• Mr David Bowler

Resources

• Emotiv EPOC Nueroheadset
• Applicator
• Standard PC or Laptop
• Microsoft Visual C++ 2010 Express
• Emotiv Education Edition SDK v2.0.0.20