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Alara Reborn Pre-release / Release Poster #2.
MRI Compatible EEG System Graduate Mentors: Aditya Balasubramanian, Balasubramanian, Jeff King, Brandon Gardner, Kausar Abbas Graduate Advisors: Prof. E. Nauman, Prof. L. Leverenz, Prof. T. Talavage Undergraduate Team: Cody Cousins, Yi Zhou
Team Goals
Compact EEG System
Magnetic Resonance Imaging From the Journal of Neuroscience Methods
USB I/O Lithium Battery
Voltage Regulator
microSD Card
ADS1299 Analog Front End
Digital I/O
M i c r o c o n t r o l l e r
+5V DC
8 EEG Electrodes
The prototype EEG system consists of three main sub-circuits:
Provide Provide relevant relevant and underst understand andable able data to the Purdue Purdue neurotrauma neurotrauma group ( PNG) PNG) to be used in studies aimed at quantifying the relationship between brain injuries sustained by players and the impacts they receive during a game. Apply lessons lessons learned learned from previou previous s designs designs into a ultraultracompact, low cost EEG EEG device that can be used in parallel with magnetic resonance imaging. Build a prototype EEG device with 8-channels using modern integrated circuits and low-power components while building on proven design techniques. Explore Explore printed printed circuit circuit board board layout layout and microcon microcontrol troller ler programming options for early prototypes of the EEG design using a microcontroller development board. Begin collecting real-time data from players during magnetic resonance imaging sessions.
The power section, section, which regulates regulates two 3.7V Lithium Lithium Ion batterie batteries s wired wired in series series to +5V DC and +3.3V +3.3V DC for the analog and digital portions of the circuit, respectively.
Block Diagram: Then and Now
The digital I/O portion of the circuit, which sends data to the microco microcontro ntrolle llerr via SPI interfac interface e and can output output to either either a microSD card or the development board’s USB interface.
Microcontroller Development Board PCB Layout The chipKIT Max32 is a microcontroller board based on the Microchip PIC32MX795F512L 32-Bit Microcontroller
Objectives: Reduce the cost, footprint, and power consumption consumption of a previously proven design. Search for new components that could reduce elements elements of the functional block diagram.
The analog front end, consisting of eight EEG electrodes and the Texas Instruments ADS1299 Instrumentation Amplifier for biopotential measurements.
Features: 128K RAM 512K Flash 10/100 Ethernet USB 2.0 OTG
Data from player scans may be improved greatly with the addition of real-time electrical information from an EEG. Combining Combining these readings (the pattern of pattern of activity) with MRI (the location of location of activity) will empower researchers to more precisely correlate correlate changes in behavior with changes in the physical structure of the brain.
