blangry
Joined 14 years ago
Joined 14 years ago
There are a number of biological factors that can make a difference, but for type 1 diabetics, the point should be that you know the ratio of carbohydrates eaten to insulin to take. This can vary, but good data helps you get the ratio right. It can also identify if you have high glucose points that match your circadian rhythm, or if you're becoming hypoglycaemic at a certain point regularly and just haven't mentally joined the dots.
Now, yes, you could do all of this through a log book on paper. I could sit down for a half hour each month and look for trends. But, I take readings on a device with digitised output between 4 and 8 times per day. I don't want to have to go analogue with that, I essentially want the blood glucose equivalent of google analytics. I can account for unusual variations (cycled for 10 miles/got blind drunk/etc.) much better if I have a dataset that demonstrates what the benchmark should be.
I think with diabetes, I certainly want the data to be adaptive beyond "constant diet, timing of meals" etc.
@j_s - Yes, I think he makes some fantastic points.
@inetsee - Yes, lots more variables than BG readings, but getting that right is a good start.
@axsar - Thanks, will have a look, although it still relies on proprietary data cable.