Project

# Title Team Members TA Documents Sponsor
49 Head Trauma Data Transmission and Logging
Conner Cecott
Fahim Sheikh
Philip Meyer
John Capozzo design_document0.pdf
final_paper0.pdf
presentation0.pptx
proposal0.pdf
Research suggests that there are as many as 3.8 million sports-related concussions in the United States every year. Our project is going to address the data analytic needs of the TA Pitch- Time Locked Data Logging, presented by John Capozzo. The data to be analyzed will consist of heart rate, linear and rotational acceleration, and time measurements transmitted to us from an outside source. The other group on this project will be responsible for the collection of this data. However, our component of the project does not depend on collaboration with the other group, as test data can be easily acquired. To analyze the data an algorithm, similar to the STAR algorithm, will be utilized in order to determine the usefulness of the data to be logged. The idea of this project is to collect accelerometer and heart rate data before and after a possible concussive impact so further analysis can be performed. Our team would implement this by designing a PCB that can read data from an SD card, run the algorithm, and wirelessly transmit the data to a cell phone or tablet application that can show the time locked results and relationships between heart rate and force. Our preliminary design is to use the NXP MKW41Z microcontroller. The rationale behind choosing this controller is that it has the ability to enable low power bluetooth communication as well has up 512 KB of flash memory and up to 128KB of SRAM. The advantage of having this memory is because the time constraints of this class do not allow for the complete layout of memory external to a processor. Additionally, even though our half of the project does not necessarily have to be mobile, the low power bluetooth capability allows for power conservation if this module was to become mobile in the future. As for power, the max amount of current the chip requires is 19.6 mA at a max of 3.6 V. This chip does not require much power but depending on added peripherals it may need more. There is a design reference board that uses USB to power the chip and accessories so we know USB power is sufficient. Overall, in conjunction with the other team, this project could provide extremely valuable data for better head trauma analytics.

TA Post: https://courses.engr.illinois.edu/ece445/pace/view-topic.asp?id=14310

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