I’m sure these tricks work, that there’s all sorts of analytics data that shows it — but no trick works forever. People inevitably catch on.John Gruber
Readmill does offer a way to export reading data. But machine readable XML and JSON formatted data is useless unless that data can be imported somewhere.
These files are primarily for programmers. Export user info, followers, followings, readings, highlights, reviews, comments and likes on your highlights and reviews, and highlights you liked into JSON and XML files.
What the fuck are regular readers supposed to do with that shit? But really, what are programmers supposed to do with that shit?
The most useful file I exported is a CSV file with my reviews and reading history. I imported this data to my Goodreads profile. At least I can still read my books.
For us users, a smartwatch collects sensor data, connects to our smartphone, displays alerts, responds to touch and voice commands… and even tells us the time. These are all worthwhile functions that make for neat promo videos, but to keep users interested after the novelty wears out, smartwatches will have to do more than log the miles we’ve run, give us weather updates, and show us the name of the person who’s ringing the smartphone in our pocket. Jean Louis Gassée
My first week was the best. Even though I had a lot of hypo episodes I felt more free. My first weekend with the pump I was able to eat pizza; something I have not done in a while. Eating pizza was like giving my blood glucose a ride at Great Adventure1. With the mutli-wave bolus feature of the Combo I could eat pizza and not worry too much.
My second week was hell. At least that’s how I would characterize it. As I worked with my certified diabetes educator (CDE) to adjust my basal rates, I experienced multiple daily hypoglycemic episodes. Some occurred during the day and some at night. Thank goodness for the Dexcom G4! We adjusted my basal rates and bolus ratios so many times that I have no idea what my insulin/carb ration is. It was just all too overwhelming.
This week I am taking it a bit more in stride, although I did start off the week in a bit of a huff. I wanted to get some useful data for the CDE so I decided that on Monday I would eat the same thing for all my meals that day. I had Trader Joe’s Steel Cut Oatmeal for breakfast, lunch and dinner.
My BG pattern for the day resembled the ride pattern for Kingda Ka. It went straight up and almost straight down. I was hypoglycemic — in the 60s — most of the day. I refused to treat the hypo. I wanted the CDE to see the pattern and sucking down glucose would have meant throwing out the results. The CDE yelled at me when I should her my data later that night but she admitted that the data was useful. My basal rate was too high. We made some adjustments.
Yesterday I went back to eating my normal breakfast, lunch and dinner but my numbers were not much better. I still got a post-prandial hypo after breakfast and lunch but dinner held steady. I went to bed with a BG near my target of 100 and woke up this morning with a BG near target.
This morning I adjusted my breakfast regimen. I took my bolus and waited 20 minutes before eating. My BG did not rise as quickly and dropped into the 80s before lunch.
I don’t know how to interpret all this data. I’m hoping the CDE does. Trying to find patterns and trends with so many variables is a daunting task. Unfortunately, I’m a Mac and most diabetes medical devices are Windows. I have no way to download and chart my data. That’s a real issue for me. I think if I could look at the data from my CGMS combined with my meal and insulin delivery data, I could find some patterns to inform my diabetes management.
Next Saturday I am scheduled for an early morning fasting blood glucose test. I will use that opportunity to fast until noon. Hopefully we can get an idea of what my BG does in the morning. I don’t want to do this more than once. The CDE wants me to do another one for lunch but that will have to wait for another weekend. Fasting during a busy work day would leave me miserable and exhausted.
One thing I am still trying to figure out is where to place my pump. My biggest challenge is going to the bathroom. Placing the pump on my belt loop works only so long as my pants don’t drop around my ankles. I’ve had a some situations where the pump tubing was very taught.
I’ve received several suggestions via the forums on tudiabetes.org and elsewhere. None of them seem practical for me. One suggestion is to strap the pump to my lower leg or my waist or chest neatly hidden under my clothing. I think this would be uncomfortable and the strap would become and irritant. One of my client’s offices has security scanners. At least one a week I am at that site, placing my computer bag on a conveyor belt for scanning, removing metal objects from my pockets, and of course setting of the scanner alarm with my insulin pump. It’s a lot easier to deal with when the pump is visible. I also don’t see how strapping my pump around my chest and under my clothes does not leave a visible bump under business clothing. I’m usually wearing an undershirt, a long sleeve dress shirt, wool pants and if it’s Winter, a sweater. I dress like this guy, except I’m not as handsome and don’t wear a tie.
I’m looking forward to Week 4. According to some of the people on the forums on TuDiabetes.org it can take up to 6 weeks to fine tune my insulin pump. As long as I see progress, I won’t be as frustrated.
I’m sure this is mostly due to Netflix usage in my home. On each snow day and office closing — we’ve had about five since January — we entertain ourselves with iTunes and Netflix. The Comcast data cap is 250GB.