@dirceusemighini @wwwired - Yes, Ideally I'd like to automate an adjustment to AAPS tuning based on "exercise effort" (measured by HR or other inputs like steps or some combination), adjusting Temp Target BG, and possibly Carb Decay and Insulin Activity Duration. I think those make the most sense, biologically. For now, I'll be happy getting 80% of the benefit by using just HR to set a TT of 140 mg/dl and maybe setting Insulin Sensitivity up by 20/40/60%, depending on HR range. I updated xDrip-plus code to properly recognize Amazfit bands and that code already has some HR handlers in it. Tell me if you know anyone who might know how to get HR data from xDrip (or Google Fit if necessary) into AAPS, to allow automation to use it. If you have other skills or experience with this, I could use your help.
Very interesting, do you have a lot of hipos? I never thought on correlating it, this seems to be a great thing to do, for those who does a lot of sports. The main idea is to suspend before BG start dropping when HR is high? A question I have is, how precise is the HR sensor of your band? It's mi band 5 of just band 5?
What is the purpose of the FOOD tab which displays the food presets defined in nightscout? It only shows the foods but it is not possible to use foods for carb-entries or such things.
Where is this FOOD tab? I saw this collection at my mongo, but I didn't see any data on it, and I have a doubt that what was this used for?
@dirceusemighini I don't know if it's new. APS docs have one entry for the tab (https://androidaps.readthedocs.io/en/latest/Configuration/Config-Builder.html#food). It sais it's for viewing food only.
Ah, thanks @Pentagit I thought that this was a nightscout tab. I saw this collection at nightscout database and didn't knew if there was someone writing to it. I was planning to track and see, if I can stabilish any correlation between food and post meal BG. If it's true I could schedule some post meal bolus to "flatten the bg curve", in my case altough I do carb counting, I have some post meals skyrockets, due to fat/protein.
@mordechi-david It is in the documentation on SMB
https://androidaps.readthedocs.io/en/latest/Usage/Open-APS-features.html#super-micro-bolus-smb
https://androidaps.readthedocs.io/en/latest/Usage/Objectives.html
Objective 10: Enabling additional oref1 features for daytime use, such as super micro bolus (SMB)
You must read the SMB chapter in this wiki and chapter oref1 in openAPSdocs to understand how SMB works, especially what’s the idea behind zero-temping.
Then you ought to rise maxIOB to get SMBs working fine. maxIOB now includes all IOB, not just added basal. That is, if given a bolus of 8 U for a meal and maxIOB is 7 U, no SMBs will be delivered until IOB drops below 7 U.
A good start is maxIOB = average mealbolus + 3x max daily basal (max daily basal = the maximum hourly value in any time segment of the day - see objective 7 for an illustration)
min_5m_carbimpact default in absorption settings has changed from 3 to 8 going from AMA to SMB. If you are upgrading from AMA to SMB, you have to change it manually.
rst text to markdown md. Do you have an opinion on this, or do you have some ideas how to improve the translation process? Or do you think that the documentation should be only in English? Please share it with us here openaps/AndroidAPSdocs#1000
It looks like Android 10 (Go Edition) has removed this feature - is there anything I can do?
I installed v2.8.2 yesterday and checked again, but if I change the Profile in the NSClient app, it is reflected in Nightscout but not in AndroidAPS. I often use the function to change the profile rate, so if this doesn't work, the latest version is not available and I have to roll back to v2.7.
Also, the AndroidAPS app does not sync cage, iage, sage, and pbage.
Please let me know what I need to check to solve this problem.
@Foxy7 @dirceusemighini @wwwired I just watched the diabetech exercise session and fully agree that handling exercise is a complex problem and more difficult because different types of exercise affect each person differently. There are some common impacts though, and all the experts agree that exercise has a substantial impact on ISF and carb absorbtion, both during activity and after. And experts also agree that we should make adjustments to our settings before (if possible), during and after (up to 24 hrs). These adjustments can be automated, at least during and after the activity, but not until AAPS/Loop has another input signal or two, so it knows we're exercising, how vigorously, and probably aerobic vs. anaerobic. Getting heart rate into AAPS seems like a great start. If you know of a better way please share your thoughts. It's hard for me to believe that using heart rate hasn't been tried already so I keep asking about lessons already learned, and for others who can help. Thanks for any insights.
I really don't know if we can get usefull data from it, but I think that it worth a try, at the begining it will be hard to stabilish a correlation but maybe we can do it with body methabolism I need to try to find some articles to see if anybody has researched about it. Do your band have oxygen saturation sensor?
