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A Mixed Signal EEG Interface For

Use in First Year Electronics

Courses

Vincent Lee (Cal), Jennifer Monski (MSOE), Winthrop Williams (Cal), Bharathwaj Muthuswamy (MSOE), Tom Swiontek (MSOE), Michel Maharbiz (Cal), Vivek

Subramanian (Cal) and Ferenc Kovac (Cal)

Presented by : Bharathwaj “Bart Simpson” Muthuswamy

Assistant Professor of Electrical Engineering at the Milwaukee School of Engineering

BS (2002), MS (2005), PhD (2009) in EECS from Cal

Many thanks to Ferenc Kovac from Cal for funding my trip

IEEE International Circuits and Systems Symposium

C2L-J : Advances in Circuits and Systems Educational Delivery

Seoul, South Korea, May 23rd 2012

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Goal(s) of This Work

1. Encourage first-year (freshman) electronics students

to get hands-on experience (gasp!) with electronics.

2. The design involves both analog components and a

digital back-end. Students at Cal also design a PCB

for the project.

3. Note : already existing designs (such as OpenEEG)

did not meet our goals

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Outline

I. Components of the design

1. Overall circuit

2. Analog – Instrumentation Amplifier

3. Analog – Filters

4. Analog – Gyrator

5. Analog – Isolation Circuitry

6. Analog – Power Supply

7. Digital* – LABVIEW program for interpreting EEG data

II. EECS 40 (Cal) Results

III. Conclusions and Future Work

I. Components of the design

1. Overall circuit

2. Analog – Instrumentation Amplifier

3. Analog – Filters

4. Analog – Gyrator

5. Analog – Isolation Circuitry

6. Analog – Power Supply

7. Digital* – LABVIEW program for interpreting EEG data

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Overall Circuit

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Analog – Instrumentation Amplifier

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Analog – Filters

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Analog – Gyrator

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Analog – Isolation Circuitry

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Analog – Power Supply

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Digital* - LABVIEW program for interpreting EEG data

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Outline

I. Components of the design

1. Overall circuit

2. Analog – Instrumentation Amplifier

3. Analog – Filters

4. Analog – Gyrator

5. Analog – Isolation Circuitry

6. Analog – Power Supply

7. Digital* – LABVIEW program for interpreting EEG data

II. EECS 40 (Cal) Results

III. Conclusions and Future Work

I. Components of the design

1. Overall circuit

2. Analog – Instrumentation Amplifier

3. Analog – Filters

4. Analog – Gyrator

5. Analog – Isolation Circuitry

6. Analog – Power Supply

7. Digital* – LABVIEW program for interpreting EEG data

II. EECS 40 (Cal) Results

III. Conclusions and Future Work

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EECS 40 (Cal) Results

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Outline

I. Components of the design

1. Overall circuit

2. Analog – Instrumentation Amplifier

3. Analog – Filters

4. Analog – Gyrator

5. Analog – Isolation Circuitry

6. Analog – Power Supply

7. Digital* – LABVIEW program for interpreting EEG data

II. EECS 40 (Cal) Results

III. Conclusions and Future Work

I. Components of the design

1. Overall circuit

2. Analog – Instrumentation Amplifier

3. Analog – Filters

4. Analog – Gyrator

5. Analog – Isolation Circuitry

6. Analog – Power Supply

7. Digital* – LABVIEW program for interpreting EEG data

II. EECS 40 (Cal) Results

III. Conclusions and Future Work

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Conclusions and Future Work

At Cal, approximately 600 students (300 student

groups) have gone through this project (September

2011 – May 2012). Student feedback from this

project: I was a student in your EE40 class last semester. You'd remember my face. I

sat in the front row. Bearded guy, glasses. Anyway, I forgot to mention to you

that a couple of months ago, I landed two killer internships which I'll be doing

back-to-back (taking off the Fall 2012 semester to accommodate). Both were

dream internships and being able to do them in series is kindof unreal. The one

that pertains to you is the second. I'm stepping into a graduate position at

Qualcomm MEMS in San Jose where I will answer to the director of the MEMS

division. I'll be doing Spice simulation of the Mirasol e-reader display that they're

developing. I'll be the only intern, working in a lab with three engineers in R&D.

One of the two great items in my toolbelt that got me the job as an

undergrad over all of the applying grad students was the EEG project we

did. The director's ears perked way up when I talked about that and he

was completely sold by the end of the project description. I know a lot of

people were bummed out toward the end because they felt like the whole thing

was too sink or swim, but having designed, prototyped, simulated, and built that

device appears to be gold in an interview.

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Conclusions and Future Work

We would like to get feedback from other universities

who want to implement this project :

muthuswamy@msoe.edu

WARNING : BE EXTREMELY CAREFUL WHEN

IMPLEMENTING THIS PROJECT! CAL

(UNIVERSITY OF CALIFORNIA, BERKELEY) AND

MSOE OR ANY OF THEIR AFFILIATES ARE NOT

RESPONSIBLE FOR ANY INJURY ETC. CAUSED

BY THIS PROJECT!