To break through the limitations that arose in prior studies, Samsung’s researchers developed an off-axis Raman spectroscopy system that enables the direct observation of glucose Raman peaks from in vivo skin. Utilizing this system, they demonstrated one of the highest prediction accuracies among non-invasive technologies. The research team also developed an innovative technique for reducing the effects of movement artifacts on glucose sensing in Raman spectroscopy.
@teleriddler I found this: https://news.samsung.com/global/samsung-researchers-non-invasive-blood-glucose-monitoring-method-featured-in-science-advances
Interesting
Understandable, I have also been looking at watches as well and to have a general idea of where you are would be good but when I am already wearing a CGM that is probably more accurate I would assume just use XDrip to get the readings to the watch, however would always be good to have a backup if the sensor fails.
@dvdv_gitlab correct, the science is sound and exact but miniaturization has been a problem in the past. Who knows maybe Samsung and Apple have figured something out the others could not. Google dropped their glucose watch project a while back, I am guessing they hit a similar barrier with shrinking the package. The device sitting on the pig in the picture did not seem to reflect a wearable watch that a consumer would buy but there is not a timestamp on the image so if could be older than we think. Hoping for the best regardless and interested to see what comes in 2021.
I hope that it can evolve to be more than just a backup. Another barrier is that it will need to be approved by the health agencies (aka FDA) to be used?
@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
