BINAURAL BEATS, BRAIN WAVE ENTRAINMENT AND THE HEMI-SYNC PROCESS
Brain Wave Group 1
description
Transcript of Brain Wave Group 1
Brain Wave Group 1
Final PresentationJames LinSon Phan
Michael Oduselu
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
Potential Applications EEG Biofeedback
Control brain rhythms Computer Control & Communication
Thought controlled systems Entertainment & Virtual Reality
Brain influcenced music and graphics Adaptive Virtual Worlds
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
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
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
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
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
Goals Tackle first task of reading
brainwaves Research and design EEG circuit Assemble EEG circuit Read brainwave on oscilloscope
Design Objective Build EEG Circuit
Get parts Use BrainMaster schematicsd
Test/Optimize EEG Test for heartbeat Test for brainwave Solder final circuit
Previous Design
Amplifier didn’t work
Revised Design
First step: EEG Monitor
Amplifier Schematic
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
Implement Circuit in P-spice
Simulate and Examine Result
0
1
2
3
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1 10 100 1000
The Output Voltage
Voltage
Vo
lta
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Frequency
Continued…
0
5000
1 104
1.5 104
2 104
2.5 104
1 10 100 1000
Total Amplifier Gain
Gain
Ga
in
Frequency
Specifications Type: differential Gain: 20,000 Bandwidth: 1.7 –
34 Hz Input Range
200uV Output Range 4 V CMRR >100dB
Other components Midpoint Voltage circuit
Other components Clean power source
Navigation: Waves vs Emotion
Heartbeat Test Results Breadboard
circuit measurement of heart beat Second figure
shows a close up. Compare with
EKG
Assemble working circuit Solder circuit
together for better performance
Cleaner signal with better electrodes and pads
Flat signal = good sign
Signal from head Tested signal to
amp by biting down.
First capture shows one bite.
Second capture shows 3 bites.
Measure Brainwaves Results from head
show fluctuating signal between 3 and 30 Hz.
Wave compared to Brainmaster screenshot.
Brain results cont. Waves look similar Need to use filtering
to isolate frequency energy of wave in a specific time.
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.
Muscle induced response First capture
shows response of raising eyebrows once.
Second capture shows two eyebrow raises.
Results continued Capture shows
signal created by a hard blink
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.