The document outlines an agenda for a workshop on sensors and smart algorithms taking place from 8:30-18:00. The workshop will include sessions on sensors from 8:30-11:30, a transfer between buildings from 11:30-12:00, two keynote speeches from 12:00-15:00, and presentations on clinical applications from 14:00-18:00. The morning sensors session will be split into workshops on sensors from 8:30-10:00 and smart algorithms from 10:15-11:30. Details are provided on using various sensors and tools like the MAXREFDES117 and CC3200-LAUNCHXL, developing code in Code Composer Studio and Energia,

1. fTales workshop
sensors & smart algorithms

2. Outline
8.00-8.30 REGISTRATION & START @ 8.30h
8.30-11.30 WORKSHOP 1 - sensors & smart algorithms
11.30-12.00 Transfer from Building H to Building D
12.00-13.00 KN1 - Walter De Raedt
13.00-14.00 LUNCH
14.00-15.00 KN 2 - Frederik Debong
15.00-18.00 Presentations of Clinical applications

3. Workshop 1
8u30 General introduction
8u45-10u00 WORKSHOP 1a - sensors
WORKSHOP 1b - smart algorithms
10u00-10u15 coffee break
10u15-11u30 WORKSHOP 1b - smart algorithms
WORKSHOP 1a - sensors

4. WORKSHOP 1a - sensors
PXL University College - Hasselt University

5. Application

6. Oxygen saturation + heart rate

7. Tools

8. INFO workshop
...

9. Mission

10. SENSOR: MAXREFDES117
https://www.maximintegrated.com/en/design/reference-design-center/system-board/6300.html

11. CC3200-LAUNCHXL

12. Hello World source
https://github.com/pxltech/fTales

13. IDE
- Texas Instruments Code Composer Studio
- Energia => Arduino
- https://dev.ti.com => CCS Cloud

14. Hello World

15. Energia Settings for CC3200-LAUNCHXL board

16. Energia Settings for CC3200-LAUNCHXL board

17. Sensor Application
https://github.com/pxltech/fTales

18. Sensor Application

19. Sensor Application

20. Mobile Application
● AppInventor
○ General information/resources => http://appinventor.mit.edu/explore/
○ IDE => http://ai2.appinventor.mit.edu/
● You will need a Google account
○ Projects are stored in the cloud
● Easy to use tool
● Drag & Drop
● Deploy
○ Emulator => rather slow, no hw functionalities (accelerometer, gps, …)
○ Phone/tablet connected over USB => some software (optionally drivers) might be necessary
○ MIT AI2 Companion App =>
https://play.google.com/store/apps/details?id=edu.mit.appinventor.aicompanion3
● Working project will be provided near the end of the workshop

22. AppInventor - basics
● “Hello App Inventor”
● Create a new project, “HelloAppInventor”
● Add a Label
● Add a Button
● Modify the name of the components.
● Modify some properties
○ Color, Text, ...
● Switch to the “Blocks” editor (from the
“Designer”
● Add a basic event (button click, …)
● Deploy this application on your phone/tablet

23. App structure
● We need
○ A button to “connect” to the sensor
○ To read data (continuously)
■ Simulated using a timer
■ Simulated using a web call
○ A way to parse the data
○ A way to visualize the data
● Optionally
○ Clear the screen
○ Close the connection
○ Store some preferences
○ ...
CANVAS
BUTTON
LABEL

24. AppInventor - concepts

25. Parse sensor data
● Data can be requested from http://paste-it.be/pxl/ftales.php
● Sample response
○ red=773,ir=505,HR=64,HRvalid=1,SPO2=98,SPO2Valid=1
● Choose one variable, e.g HR (this will in this example vary between 50 and
90)
● First, split the different values (HINT: look at the “Text” blocks)
● Split the different parts again to get the value
● Show the values using some labels
● Refresh the data every X milliseconds (e.g. 500)
○ HINT: Palette > Sensors > Clock

26. Contact Details
vincent.claes@pxl.be
steven.palmaers@pxl.be
ronald.thoelen@uhasselt.be

27. Backup Slides