Figure 1 - exercise and total daily basal insulin usage

1. Introduction In Type 1 diabetes, exercise has an effect on blood glucose levels. In general, during periods of low to moderate intensity exercise, blood glucose levels will drop. To counteract this, either insulin is reduced or carbohydrate intake is increased. Moreover, it is often reported that this effect may last for up to 24 […]

At the start of the project I thought I would be spending all of my time using Hadoop and other Big Data technologies to analyse my data. The conclusion that I rapidly came to is that if you don’t have huge amounts of data then Hadoop is probably not the best option. Once I have a […]

As part of my project to correlate exercise and insulin usage in type 1 diabetes I need to get hold of my blood glucose and insulin usage data. I use an insulin pump with an embedded continuous glucose monitoring (CGM) sensor. Periodically I upload all the data from the pump to Diasend. Diasend is quite a […]

In my last post I looked at options for recording heart rate data. I settled on using a Garmin HRM strap, linked to my Garmin Edge 500 and Garmin FR70. I use the Edge while on my bike on the road and in the gym (you can link the Edge to a Wattbike, which is […]

One part of The Glucose Project is to try and quantify exercise so that it can be correlated with insulin usage and blood glucose level. The question I want to answer is, depending on the amount of exercise I have done, how should I adjust my insulin dose? My first approach is to look at heart […]

I’ve finally found it. I have been trying to think of a good project to get my teeth stuck into – something that will get me up to speed with all these new Big Data technologies as well as being of some use – and I think i’ve got one: The Glucose Project. In brief, […]

Apache Pig is part of the Hadoop ecosystem and is a procedural language which makes the job of processing data on Hadoop a lot easier than writing MapReduce jobs by hand. You can write a script in Pig Latin which, under the hood, will translate into MapReduce processes. This is often the quickest way of […]