I have just posted on my other blog about my data analysis of the volatility within a month’s worth of CGM readings. Using R, I wanted to explore ways of judging readings by methods other than just average daily blood sugar. This was completed for my Data Without Borders class at NYU’s ITP. The full post is here.
I’ve recently completed my most recent data visualization called Insulin on Board. I looked at 100 days of blood sugar and insulin data to see whether a low-carb diet was effective in keeping my blood sugars in range. To see a PDF of the final version, click here: http://bit.ly/KRTCzP
To learn more about the project, I have another blog post here detailing how and why I made it @ http://bit.ly/Jca8tX
This project was included in the show at NYU’s ITP where I recently completed my first year of grad school. It was also featured on the Flowing Data blog @ http://bit.ly/KR2Tf2
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.