Final Presentation James Lin Son Phan Michael Oduselu

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Presentation transcript:

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

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 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

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

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

Previous Design Amplifier didn’t work

Revised Design First step: EEG Monitor

Amplifier Schematic

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

Implement Circuit in P-spice

Simulate and Examine Result

Continued…

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.