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