Our goal is to create a device that will utilize patient’s daily actions instead of choreographed actions to monitor and quantify Parkinson’s disease based on part of the motor control section of the UPDRS scale.

• https://github.com/sparkfun/MPU-9250_Breakout
• https://github.com/bolderflight/MPU9250
• https://github.com/andrewrapp/xbee-arduino
• https://github.com/duff2013/Snooze
• https://github.com/digidotcom/python-xbee
• https://github.com/PaulStoffregen/SD
• https://github.com/mstamy2/PyPDF2
• https://bitbucket.org/rptlab/reportlab

• ShareLatex information has been commented, add correction of comments to next sprint
• change design document from sensor tag to teensy, and explain to group

• Latency to read from a MPU9250 is worst case 1ms

• wearable device (V1: Iron Fist) built

• wireless communication between XBee and Artik 710 over Zigbee
• Xbee is configured using XCTU
• end-to-end system prototype by the end of January (~February 2nd, 2018)

• started phase 2 of code which consists of:

  • a FSM that will set the device in an online mode or offline mode depending on network availablility
  • a kill state that will put the device into a stasis
  • adding the position data to the information
  • either in online mode or offline mode
  • sd card commnication for backup

• currently have done most hw and network checks EXCEPT SD card initialization

• currently cannot change out of ONLINE or OFFLINE

• ONLINE just sends data out as best it can

• OFFLINE just stores all the data on the SD card

• maybe if communication is bad (given a counter) have ONLINE transition to OFFLINE and never go back

• mahoney filter (courtesy of sparkfun), is now functional with the UPDA system
• radio energy saving
• offline code completed
  • gathers data at the correct rate
  • stores data on the SD card
  • can send information to the serial console
• error handling complete
• switching over to digi xbee python library for Zigbee communication