1 Department of Electrical and Computer Engineering Advisor: Professor Hollot Team RCA March 1, 2013 Cumulative Design Review

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

3 Department of Electrical and Computer Engineering  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 Concussion Detection in High School Football

4 Department of Electrical and Computer Engineering Our Solution: Block Diagram  Bluetooth  Android  Server

5 Department of Electrical and Computer Engineering  Demonstration of Impact Data Collection Single 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 Review of MDR

6 Department of Electrical and Computer Engineering Sensors  ADXL 78 MEMS Accelerometer Single axis +/- 70 g range 27 mV/g sensitivity 5 V and 1.3 mA  PCB Design 3 connection wires 1 noise filtering capacitor 1 sensor

7 Department of Electrical and Computer Engineering Battery  System Power Requirements Maximum current ≈ 300 mA 5 volts 5 hour duration Total energy consumption = 1390 mAh  USB Battery Pack 2000 mAh 5.5 V, 700 mA Rechargeable Packaging in helmet

8 Department of Electrical and Computer Engineering Sensor Packaging in Helmet Sensors IC and battery

9 Department of Electrical and Computer Engineering Human Skull  Loaded vs empty helmet  Simulate the neck  Controlled test for impact duration Small increase

10 Department of Electrical and Computer Engineering Application / User Interface and UI Communication  Design Requirements Simple Operation / User Friendly Displays Meaningful Information User Adaptable −Coach vs. Trainer Player Adaptable −Adaptive Threshold Monitoring  Challenges Improving Processing Maintaining Continuity Redesigning Bluetooth Parsing for Variable Hits

11 Department of Electrical and Computer Engineering Application / User Interface and UI Communication  Drop Down Menu  Bluetooth Permission

12 Department of Electrical and Computer Engineering  Home Screen  Impact Alert Application / User Interface and UI Communication

13 Department of Electrical and Computer Engineering Risk Function C 1 = C 2 =

14 Department of Electrical and Computer Engineering Calculating Magnitude Hit Vector

15 Department of Electrical and Computer Engineering Isolated Algorithm Error Characterization

16 Department of Electrical and Computer Engineering Isolated Algorithm Error Characterization

17 Department of Electrical and Computer Engineering Impact Processing & Communication  ATmega32U4 8-bit AVR Microcontroller MDR sample rate = 2.08ms per sample 0.152ms per sample (92.7% increase) Threshold triggering  Wireless Transmission Maximum Data Rate (Kbps) Effective Data Rate (Kbps) Maximum Range (m) Effective Range (m) Bluetooth XBee Bluetooth vs Xbee 12xRate10.2xRate0.2xRange0.3xRange

18 Department of Electrical and Computer Engineering  Experiments Threshold Estimation -Mean, Standard Deviation Impact Processing & Communication Experiments

19 Department of Electrical and Computer Engineering  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 Proposed CDR Deliverables

20 Department of Electrical and Computer Engineering Demo

21 Department of Electrical and Computer Engineering Timeline

22 Department of Electrical and Computer Engineering  Fully Integrated and Wearable Helmet Stable battery Player specific adaptability  Reliable User Friendly Android Application User specific settings  Risk Calculation with Confidence Interval Probability of Error  DEMO Impact Dummy Server, Impact Location & Application FPR and Demo Day

23 Department of Electrical and Computer Engineering Questions Thank You

24 Department of Electrical and Computer Engineering Questions Thank You

25 Department of Electrical and Computer Engineering Data Processing and Storage  Requirements From MDR Calculate a magnitude hit vector from the accelerometer data Calculate risk for each hit as well as cumulative risk Be able to store raw accelerometer data  Accomplished Calculates the hit vector in an average of ms. The overall program calculates risk in an average of 1.06 s Tested and graphed data Set up server with database to store raw accelerometer data and hit data

26 Department of Electrical and Computer Engineering Material Costs This cost could be reduced by $1,200 purchasing the RN-41 and designing the BlueTooth modem ourselves

27 Department of Electrical and Computer Engineering Computational Analysis  Storage and computation can be done on a phone  Server hosts MySQL database

28 Department of Electrical and Computer Engineering 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

29 Department of Electrical and Computer Engineering 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

30 Department of Electrical and Computer Engineering Measured System Energy Consumption

31 Department of Electrical and Computer Engineering Worst Case Power Worst Case Power Analysis DeviceMax Voltage (V)Max Current (mA)Max Power (W) ATmega32U BlueSMiRF Gold ADXL Total Power (W) 1.39

32 Department of Electrical and Computer Engineering  Lower frequency response Vibrations  Mapping to graph More data points  Cost Single-Axis VS. Multi-Axis

33 Department of Electrical and Computer Engineering  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 Proposed CDR Goals