1. Final Presentation James Lin Son Phan Michael Oduselu
Brain Wave Group 1
Final Presentation
James Lin
Son Phan
Michael Oduselu

2. Purpose Research Thought Controlled Applications
Observe how mind control can be used
Open new means of communication
Enhance quality of life and mental well-being

3. Potential Applications
EEG Biofeedback
Control brain rhythms
Computer Control & Communication
Thought controlled systems
Entertainment & Virtual Reality
Brain influcenced music and graphics
Adaptive Virtual Worlds

4. Applications Cont. Education and Research
Brainwave experiments and labs
Military and Commercial Applications
Monitor health and concisousness (NASA)
Controlling planes (Air Force)
Monitor consumer reactions to Ads and Products

5. Research Background John Chapin Gloria Calhoun
Trained 6 rats to push a lever
Computer established pattern for pushing lever
Mice pushed lever with thought
Gloria Calhoun
Used brainwaves to pilot a flight simulator

6. EEG Stands for Electroencephalogram
Records bioelectric activity of brain
Monitors Frequencies from 0.5 to 20 Hz
Dependent on brain activity
Age, arousal level, sleeping state, cerebral dysfunctions

7. EEG Machines Available
Brainmaster
2-channel general purpose brainwave monitor
Performs data storage, retrieval, real-time signal processing, display, and feedback
WaveRider Jr
Has Audiovisual feedback
More integrated and configured for easy use but less sophisticated

8. EEG Machines Cont. POD ProComp EEG feedback machine
Used to improve self in areas ranging from studying to golf
ProComp
8 channel machine capable of EEG, EMG, EKG, skin conductance, temperature, heart rate, etc.
Expensive

9. Goals Tackle first task of reading brainwaves
Research and design EEG circuit
Assemble EEG circuit
Read brainwave on oscilloscope

10. Design Objective Build EEG Circuit Test/Optimize EEG Get parts
Use BrainMaster schematicsd
Test/Optimize EEG
Test for heartbeat
Test for brainwave
Solder final circuit

11. Previous Design
Amplifier didn’t work

12. Revised Design
First step: EEG Monitor

13. Amplifier Schematic

14. Analysis Objectives Understanding Circuit Implement Circuit in P-spice
Brain-Master Schematic
Part Functions
Implement Circuit in P-spice
Ideal Op-Amps
AD620
OP90
Simulate and Examine Result
Input and Output
Total Gain

15. Implement Circuit in P-spice

16. Simulate and Examine Result

17. Continued…

18. Specifications Type: differential Gain: 20,000 Bandwidth: 1.7 – 34 Hz
Input Range 200uV
Output Range 4 V
CMRR >100dB

19. Other components
Midpoint Voltage circuit

20. Other components
Clean power source

21. Navigation: Waves vs Emotion

22. Heartbeat Test Results
Breadboard circuit measurement of heart beat
Second figure shows a close up.
Compare with EKG

23. Assemble working circuit
Solder circuit together for better performance
Cleaner signal with better electrodes and pads
Flat signal = good sign

24. Signal from head Tested signal to amp by biting down.
First capture shows one bite.
Second capture shows 3 bites.

25. Measure Brainwaves
Results from head show fluctuating signal between 3 and 30 Hz.
Wave compared to Brainmaster screenshot.

26. Brain results cont. Waves look similar
Need to use filtering to isolate frequency energy of wave in a specific time.

27. FFT Response FFT shows that range of frequncies is 0 – 30 Hz
Closer insepection shows a consistant frequency spike around 10 Hz.
Frequency corresponds to Alpha waves at front of head.

28. Muscle induced response
First capture shows response of raising eyebrows once.
Second capture shows two eyebrow raises.

29. Results continued
Capture shows signal created by a hard blink

30. Conclusions
EEG amplifier worked well in collecting signals from the head.
Muscles signals were far easier to see and create. No training involved.
Application such as a vehicle requires instantaneous responses which muscle signals may be better suited for.