Difference between revisions of "Projects:2014S1-26 Brain Computer Interface Control for Biomedical Applications"
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** Research brain computer interfaces and how they can be implemented. | ** Research brain computer interfaces and how they can be implemented. | ||
Revision as of 17:26, 30 September 2014
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.
Contents
Project information
This project involves
Outline of proposed work
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.
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
