Trying the new Lingo continuous glucose monitor. The first day:

Dinner from Chinese (really, Asian) restaurant: I did have a small amount of rice in one sushi roll. Egg drop soup + Thai beef and Thai chicken. You never know what’s in this stuff, unfortunately. I don’t do well with cornstarch (might be in the soup).
The dessert is chocolate semifreddo, where I replaced (most of) the sugar with allulose. But I did add some (real) chocolate chips.
Not sure why there’s a dip. Maybe allulose?
No breakfast, watched a show, then 30 minutes treadmill, 1 mile outside at -5F with high winds, to walk the dog.
Keto lunch was thin steak, and some beef/butter/cheese/cabbage keto meal.
When you export the data, you get this: 2026-02-07T11:38-05:00, for each sample. If anyone has experience with Excel and can tell me how to convert this to date, time, or even just time, I’d be appreciative.
For set up, it won’t let you go past a screen where you have to enter why you got the device. I chose “mental clarity” or whatever it was. You can’t say you eat 2 meals a day, and it wants to know when you eat 3 meals.
It “grades” spikes. So, I have 3 spikes with grades of 11, 8, and 15. The 11 is the dinner, the 8 is the dessert, and the 15 is from the odd plunge then rise. It takes into account the height and length. To me, the 11 (dinner) should be rated the highest, but the “spike” after the dip (from allulose?) is rated the highest, I think because it “lasts” the longest.
I think the idea is that you set a goal number for spikes, and try to hit that goal. The goal selected is 60/day. I’m assuming you can change that.
But since I’m going to fast next week, I’ll be waaaaaay under that.
The “healthy” range is 70-140 for blood sugar. I expect to be under 70 in a 4.5 day fast. When I eat keto, I should have zero spikes. I’ll have to see what happens.
I haven’t compared the values to my pinprick monitor. I figure that’s a futile exercise.
I think data taken every 5 minutes might be too much. Makes it look ridiculously busy.
If you have questions, let me know.

