ga-zelle / autoISF

extensions of AAPS for specific BG behaviours like stuck high or accelerating after meals

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autoISF version 3.0.1

The autoISF is an add-on to AAPS V3.2.0.4 using oref1 and out of the box it behaves like regular AAPS. It can adapt ISF if glucose or its trends show certain behaviour. See the Quick Guide for details of those scenarios. The effects can be tuned individually to further improve your results if you already have a TIR of about 90%. Besides those adaptations there are other features like managing SMB settings or reacting to step counts. Last but not least it can serve as an enabler for Full Closed Looping (see https://discord.com/channels/953929437894803478/1025730692014936207 ).

Currently the repo with the complete code can be found here: https://github.com/T-o-b-i-a-s/AndroidAPS/tree/3.2.0.4-ai3.0.1 Beware that in Android Studio you first start with its related master branch, wait for all the downloading and other updates and only finally switch to the above branch. More detailed build instructions are given in that repo.

The main new features provided by the upgrade from 3.0 to 3.0.1 are.

  • Merging the research Libre branch into mainstream
  • 5 settings were withdrawn because over time it proved they were not really necessary or never modified
  • In the SMB tab the script debug section is now shown first
  • Now 100 logfiles instead of just 30 will be kept before getting recycled
  • The SMB tab shows the current value of iob_threshold_percentage and how it was adapted to become the effective iob threshold

For details of these see the Preface in the Quick Guide.

In 3.0 there was a bug related to the iob_threshold_percentage being inactive when setting it to 100%. Once modulated by exercise or similar it became active unintentionally.

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extensions of AAPS for specific BG behaviours like stuck high or accelerating after meals