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Page 1: Brain Wave Group 1

Brain Wave Group 1

Final PresentationJames LinSon Phan

Michael Oduselu

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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

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Potential Applications EEG Biofeedback

Control brain rhythms Computer Control & Communication

Thought controlled systems Entertainment & Virtual Reality

Brain influcenced music and graphics Adaptive Virtual Worlds

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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

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Research Background John Chapin

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

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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

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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

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EEG Machines Cont. POD

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

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Goals Tackle first task of reading

brainwaves Research and design EEG circuit Assemble EEG circuit Read brainwave on oscilloscope

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Design Objective Build EEG Circuit

Get parts Use BrainMaster schematicsd

Test/Optimize EEG Test for heartbeat Test for brainwave Solder final circuit

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Previous Design

Amplifier didn’t work

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Revised Design

First step: EEG Monitor

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Amplifier Schematic

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Analysis Objectives Understanding Circuit

• Brain-Master Schematic• Part Functions

Implement Circuit in P-spice• Ideal Op-Amps• AD620• OP90

Simulate and Examine Result• Input and Output• Total Gain

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Implement Circuit in P-spice

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Simulate and Examine Result

0

1

2

3

4

5

1 10 100 1000

The Output Voltage

Voltage

Vol

tage

Frequency

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Continued…

0

5000

1 104

1.5 104

2 104

2.5 104

1 10 100 1000

Total Amplifier Gain

Gain

Gai

n

Frequency

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Specifications Type: differential Gain: 20,000 Bandwidth: 1.7 –

34 Hz Input Range

200uV Output Range 4 V CMRR >100dB

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Other components Midpoint Voltage circuit

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Other components Clean power source

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Navigation: Waves vs Emotion

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Heartbeat Test Results Breadboard

circuit measurement of heart beat Second figure

shows a close up. Compare with

EKG

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Assemble working circuit Solder circuit

together for better performance

Cleaner signal with better electrodes and pads

Flat signal = good sign

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Signal from head Tested signal to

amp by biting down.

First capture shows one bite.

Second capture shows 3 bites.

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Measure Brainwaves Results from head

show fluctuating signal between 3 and 30 Hz.

Wave compared to Brainmaster screenshot.

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Brain results cont. Waves look similar Need to use filtering

to isolate frequency energy of wave in a specific time.

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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.

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Muscle induced response First capture

shows response of raising eyebrows once.

Second capture shows two eyebrow raises.

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Results continued Capture shows

signal created by a hard blink

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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.


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