a mixed signal eeg interface for use in first year electronics...
TRANSCRIPT
Slide Number: 1/15
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 :
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!