Midway Design Review. Team RCA December 5, 2012

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1 Midway Design Review Team RCA December 5, 2012 Advisor: Professor Hollot 1

2 RCA (Real-Time Concussion Analyzer) Timothy Coyle, EE Impact Processing & Communication Kenneth Van Tassell, EE User Interface & Communication Scott Rosa, CSE Server & Data Analysis Justin Kober, EE Sensor Network & Power Advisor: Professor Hollot 2

3 Concussion Detection in High School Football Current concussion detection Train coaches to recognize symptoms Players may hide or not experience symptoms right away RCA will monitor each player and alert the coach with the risk of concussion after each collision Customer feedback College trainers and high school athletic director 3

4 Our Previous Solution: Block Diagram 4

5 Our Redesigned Solution: Block Diagram Bluetooth Android Server 5

6 Sensors ADXL 193 MEMS Accelerometer Testing Noise analysis PCB Design ADXL 78 More sensitive 6

7 Battery Selection Energy Consumption Worst Case: 25.0 kj per game Typical: 5.8 kj per game 100 ms per hit and 100 hits per game Coin Cell Batteries Weight & Size Series or Parallel 7

8 Measured System Energy Consumption Helmet network connect but idle Helmet network connect and transmitting mv mv ms Mean Voltage: mv ms Mean Voltage: mv 8

9 Application / User Interface and UI Communication Requirements Easy to use Displays Acceleration User Adaptable Coach vs. Trainer Reliable Challenges Unable to perform long processes on UI thread Uncaught process errors Working with Android Bluetooth protocol 9

10 Application / User Interface and UI Communication Android AsyncTask Allows multi-threading in Android applications Performs tasks asynchronously in the background Android Debugging Used to catch unseen errors Found and fixed multiple runtime errors Android Bluetooth Using Android Bluetooth package Measured response time of transfer to be 16.8 ms 10

11 Data Processing and Storage Requirements Calculates rotational acceleration Determines probability of concussion Output within 500 ms Store all impact data efficiently Accomplished Calculates rotational acceleration and probability of concussion in average of ms Computational analysis Set up server with database to store data Tested and graphed data 11

12 Probability of Injury Test Results C 1 = C 2 = risk = 1+ e -(c 1+c 2 a ) Rotational Acceleration (rad/s^2) 12

13 Probability of Injury Test Results C 1 = C 2 = risk = 1+ e -(c 1+c 2 a ) Rotational Acceleration (rad/s^2) 13

Bluetooth: BlueSMiRF w/ RN-41 Redesigned for

14 Impact Processing & Communication ATmega32U4 8-bit AVR Microcontroller 16MHz Clock 10-bit ADC every 8us Bluetooth: BlueSMiRF w/ RN-41 Redesigned for scalability 25m Effective range Proof of concept vs. XBee redesign 14

15 Impact Processing & Communication Experiments Experiments Compared sensor to datasheet Noise in system Sample rate Noise stabilized and found sample rate problem System output vs direct sensor output Confirmed sampling rate problem Revised sample rate settings Improved sampling rate and confirmed stable output Statistical analysis Mean, Variance, Histograms Confidence intervals of final system 15

16 Proposed MDR Deliverables Demonstration of Impact Data Collection Accelerometer interfaced with processor Helmet processor transmission Demonstration of Base Station/UI Interaction Using test data Receive from helmet Run algorithm UI able to receive and display test results 16

17 Proposed MDR Deliverables Demonstration of Impact Data Collection Accelerometer interfaced with processor Helmet processor transmission Demonstration of Base Station/UI Interaction Using test data Receive from helmet Run algorithm UI able to receive and display test results 17

18 Proposed CDR Deliverables Demonstration of Complete System Functionality Show implementation of battery powered system Impact the helmet with a known force Transmit impact data with required sample rate from the sensor array to Android device Display risk of concussion with confidence interval on Android device Display player impact history on Android device upon user request 18

19 Thank You Questions 19

20 Thank You Questions 20

21 Material Costs Helmet Network Cost Device Model Unit Cost Total Accelerometer ADXL78 $5.58 $33.48 analog cost at 1000ct Microcontroller ATmega32U4 $5.56 $5.56 sparkfun cost at 100ct BlueTooth Modem BlueSMiRF Gold $51.96 $51.96 sparkfun cost at 100ct BlueTooth Module RN-41 $19.96 sparkfun cost at 100ct PCB $33.00 $4.13 4PCB.com 60 sq in Estimated Costs Misc Hardware Caps, Clock, Resistors $1.80 DigiKey Total Cost $96.93 X 52 Players = Helmet Network Cost Per Team $5, This cost could be reduced by $1,200 purchasing the RN-41 and designing the BlueTooth modem ourselves 21

22 Computational Analysis Storage and computation can be done on a phone Server hosts MySQL database Max phone memory size: Min phone memory size: Top Ten Paid apps in Itunes 11/26/12 Max App memory size: Min App memory size: Average of max and min memory size: 64 GB 2 GB Size of Entry in table is Avaible space for just storing: Number of players on Umass Football team: 90 Avg hits per college season per player: 1177 seasons played by college player: 4 hits for college team in 1 years Team data for 4 years Team data per year Store data for Store data for 791 MB 3.1 MB MB 40 Bytes MB hits in total 17 MB 4 MB 99 teams per year 23 college teams for 4 years 22

23 Preliminary Weight Analysis NFL Helmet Approximately 6lbs. or 2.722kg ATMega328P = 2g MEMS each approximately 1g Gyroscope approximately 2g Power approximately 23g Estimated total system weight (not including packaging) = 35g-40g 5% of helmet is approximately 136g 23

24 Requirements Analysis: Specifications Real-Time continuous impact measurements Player specific adaptability Equipment weight increase less than 5% Effective range 150 m Responds in under two seconds Robust Interference Durable 24

25 Measured System Energy Consumption System State Mean (V) Current (A) Total Average Power (W) Energy Consumption for 5 hr game (kj) Connected but Idle Connected and Transmitting Total approximate energy consumption per helmet per game (kj) Energy capacities of common storage forms (kj) from energy density page of Wiki Number of 5 hr games approximately Battery Examples Alkaline battery (AA) Lithium-Ion battery (Nokia BL-5C)

26 Worst Case Power Worst Case Power Analysis Device Max Voltage (V) Max Current (ma) Max Power (W) ATmega32U BlueSMiRF Gold ADXL Total Power (W)

27 Single-Axis VS. Multi-Axis Lower frequency response Vibrations Mapping to graph More data points Cost 27

28 Proposed CDR Goals Impact Data Collection Power circuit Sensor array Processing and transmission of sensor array User Interface Cumulative linear acceleration User preferences Risk display Stability Data Analysis Sub-concussive impacts integrated Statistical analysis for entire system 28

ARK. SDP18 Team 21 MDR 12/07/2017

ARK. SDP18 Team 21 MDR 12/07/2017 ARK SDP18 Team 21 MDR 12/07/2017 Advisor: Professor Holcomb 1 1 Team Matteo Bolognese, EE Device Design, Assembly PCB Design, & Power Chad Klinefelter, CSE User Interface & Backend App Development Jackie