Another marathon down(my third)! And a new personal record! My time of 3:47 at the Philadelphia Marathon was a two minute improvement.
This race is an important point in my 2012 Quantified Self project. In order to best learn from the day, I carried a total of 8 devices with me: an insulin pump, 2 continuous glucose monitors (CGM) (a Dexcom 7 and my newly arrived Dexcom Gen4), a standard blood glucose monitor, a Garmin heart race monitor chest strap and GPS watch, an iPhone, Nike FuelBand and FitBit. I’ll talk more about these later.
As for my diabetes, managing my blood sugars on the day of the race turned out to be more of a challenge than I was hoping for. During my two previous marathons, I saw my blood sugars spike in the hours before the race, both from being anxious and from how i managed my meal dosages. I was determined to prevent that from happening again this year. I had a normal breakfast (an english muffin with almond butter and a banana) very early in the morning at 5am in order to get to the start line on time. I took a dose of insulin that I would normally take assuming I wasn’t about to exercise. I then had another half of an english muffin at 6am. I took a smaller dose for this, hoping that my blood sugars would start going up a bit closer to the 7am start time (they had been at about 145). I also began a temp basal rate at 6am, setting it to 20% my normal rate for 3 1/2 hours.
Waiting for the start along with Ann, my friend and running companion. We ran the Paris Marathon together back in 2010.
Last week, I participated in a terrific event out in the Bay Area, the DiabetesMine Innovation Summit. Amy Tenderich, the leading patient advocate, and her team organized a truly inspiring day of presentations and discussions.
In preparation for a 14 mile run on a Saturday morning a few weeks ago, I broke from my normal low-carb diet the night before and decided to carb load. The week before, I had lost energy the last few miles of a 13+ mile run. I wanted to see whether a change in my diet could help.
I ended up getting fluctuations in my blood sugar in really unexpected ways. For the entire 2 hour run, I struggled to get my blood sugar up to normal levels despite eating massive amounts of carbs along the way.
This is a data visualization I produced during the Fall 2011 term at ITP. I used 7729 readings from my Dexcom 7 CGM (continuous glucose monitor) from November, 2011. I created it using Processing, then generated a PDF showing the entire month’s readings on top and additional PDFs for every individual day of the month below. The circle spans the respective time frames starting at the top (12:00), progressing clockwise one turn. The blue represents in-range readings (80-140 mg/dL). The gray represents low blood sugar readings (79-40 mg/dL) and the outside white contains all the high blood sugars readings above 140 mg/dL.
Happy New Year, everyone! I am starting this blog to document a new, year-long project related to Databetes, the company I have founded. Throughout the year, I am recording all my diabetes-related data in an effort to improve my type-1 diabetes control. This includes every blood sugar reading, medication dosage, exercise statistic and A1c blood test. I will also record nutritional information for every meal, snack and (non-water) beverage. I’ll also be adding photographs, geolocation data and other information from my mobile phone.