1 Department of Electrical and Computer Engineering Advisor: Professor Hollot Team RCA December 5, 2012 Midway 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 Previous Solution: Block Diagram

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

6 Department of Electrical and Computer Engineering Sensors  ADXL 193 MEMS Accelerometer Testing Noise analysis  PCB Design ADXL 78 More sensitive

7 Department of Electrical and Computer Engineering  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 Battery Selection

8 Department of Electrical and Computer Engineering Helmet network connect but idle Measured System Energy Consumption Helmet network connect and transmitting mV ms Mean Voltage: mV Mean Voltage: mV

9 Department of Electrical and Computer Engineering 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

10 Department of Electrical and Computer Engineering  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 Application / User Interface and UI Communication

11 Department of Electrical and Computer Engineering 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

12 Department of Electrical and Computer Engineering Test Results C 1 = C 2 =

13 Department of Electrical and Computer Engineering Test Results C 1 = C 2 =

14 Department of Electrical and Computer Engineering 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

15 Department of Electrical and Computer Engineering  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 Impact Processing & Communication Experiments

16 Department of Electrical and Computer Engineering  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 Proposed MDR Deliverables

17 Department of Electrical and Computer Engineering  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 Proposed MDR Deliverables

18 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

19 Department of Electrical and Computer Engineering Questions Thank You

20 Department of Electrical and Computer Engineering Questions Thank You

21 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

22 Department of Electrical and Computer Engineering Computational Analysis  Storage and computation can be done on a phone  Server hosts MySQL database 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:791MB Min App memory size:3.1MB Average of max and min memory size:397.05MB Size of Entry in table is 40Bytes MB Avaible space for just storing: hits in total 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 years17MB Team data per year4MB Store data for99teams per year Store data for23college teams for 4 years

23 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

24 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

25 Department of Electrical and Computer Engineering Measured System Energy Consumption

26 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

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

28 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