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Team RCA March 1, 2013

Cumulative Design Review. Team RCA March 1, 2013. 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.

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Team RCA March 1, 2013

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  1. Cumulative Design Review Team RCA March 1, 2013

  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

  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

  4. Our Solution: Block Diagram • Bluetooth • Android • Server

  5. Review of MDR • 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

  6. 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. 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. Sensor Packaging in Helmet Sensors IC and battery

  9. Human Skull • Loaded vs empty helmet • Simulate the neck • Controlled test for impact duration • Small increase

  10. 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. Application / User Interface and UI Communication • Drop Down Menu • Bluetooth Permission

  12. Application / User Interface and UI Communication • Home Screen • Impact Alert

  13. Risk Function C1= -12.531 C2= 0.0020

  14. Calculating Magnitude Hit Vector

  15. Isolated Algorithm Error Characterization

  16. Isolated Algorithm Error Characterization

  17. 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

  18. Impact Processing & Communication Experiments • Experiments • Threshold Estimation • Mean, Standard Deviation

  19. 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

  20. Demo Demo

  21. Timeline

  22. FPR and Demo Day • 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

  23. Thank You Questions

  24. Thank You Questions

  25. 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 411.6 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. Material Costs This cost could be reduced by $1,200 purchasing the RN-41 and designing the BlueTooth modem ourselves

  27. Max phone memory size: 64 GB Min phone memory size: 2 GB Top Ten Paid apps in Itunes 11/26/12 Max App memory size: 791 MB Min App memory size: 3.1 MB Average of max and min memory size: 397.05 MB Size of Entry in table is 40 Bytes 0.00004 MB 9926250 hits in total 90 Avg hits per college season per player: 1177 seasons played by college player: 4 hits for college team in 1 years 423720 Team data for 4 years 17 MB Team data per year 4 MB Store data for 99 teams per year Store data for 23 college teams for 4 years Computational Analysis • Storage and computation can be done on a phone • Server hosts MySQL database

  28. 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. 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. Measured System Energy Consumption

  31. Worst Case Power

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

  33. 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

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