Transcript Graduate Advisors: Aditya Balasubramanian, Jeff King, Brandon

Football Telemetry
Graduate Advisors: Aditya Balasubramanian, Jeff King, Brandon Gardner, Kausar Abbas, Prof. E. Nauman, Prof. L. Leverenz, Prof. T.Talavage
Undergraduate Team: Cody Cousins, Brent Harman, Hyunwoo Kim, Christopher Mark, Shuozhengyang Wang, Shiyu Wang, Hanye Xu
Team Goals
Core Architecture
Magnetic Imaging
From the Journal of Neuroscience Methods
3x
Accelerometers
2x
Gyroscopes
Sensors
4
3
BATTERY
MONITOR
ATD
BLOCK
SPI
BLOCK
TIMER
BLOCK
GPIO
BLOCK
U
S
B
POWER
REGULATOR
CONTROL
microcontroller
Micron NAND Flash
memory (16Gbit)
 Apply lessons learned from previous designs into a ultracompact Behind The Ear (BTE) form factor that can be used
to monitor impacts in any sport.
 Store collected data in on-board flash memory and expand
data collection options with an eye toward wireless radio
communication.
 Design an effective power system with charge management
features that allow long cycles of use without recharging
through efficient sensor operation.
 Improve the temporal resolution of scans with an EEG device
that can be used in parallel with magnetic imaging.
 Provide relevant and understandable data to the Purdue
neurotrauma group (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.
Objectives:
 Reduce the cost, footprint, and power consumption of a
previously proven design.
 Search for new components that could reduce elements
of the functional block diagram.
To PC
Throughout a session, the cranial acceleration of a given player
is monitored using accelerometers in the BTE unit. The device
continuously samples these readings at 2kHz until an impact
occurs (determined by the threshold range). When such an
impact occurs, the readings prior to and post impact are stored
to Flash. After these events are stored sampling continues as
before until the cycle is repeated.
Function Blocks
Power System
PCB Layout
Battery
Monitor
Lithium Battery
Charge
Management
+5V DC
Peripherals
Microcontroller
Voltage
Regulator
Data from player scans can be improved greatly with the
addition of real-time electrical information from an EEG.
Combining these readings (the pattern of activity) with MRI
(the location of activity) will empower researchers to more
precisely correlate changes in behavior with changes in the
physical structure of the brain. Electrical signals that
precede shifts in location may also yield new predictive
models if there is enough data.
Lightweight Lithium Ion
Battery - 3.7 V average
output, 400 charging
cycles, four hour average
run time. Charging
IC Charges battery from
USB or AC adapter.
Battery monitor initiates
safe-shutdown sequence
in the event of severe
battery rundown.
Proposed BTE PCB Layout
Actual Size