Getting Data Off Proprietary Glucometers Gets a Little Easier

Glucometers (which measure glucose levels in blood) are medical devices familiar to diabetics, and notorious for being proprietary. Gentoo Linux developer [Flameeyes] has some good news about his open source tool to read and export data from a growing variety of glucometers. For [Flameeyes], the process started four years ago when he needed to send his glucometer readings to his doctor and ended up writing his own tool. Previously it was for Linux only, but now has Windows support.

Glucometers use a variety of different data interfaces, and even similar glucometers from the same manufacturer can use different protocols. Getting the data is one thing, but more is needed. [Flameeyes] admits that the tool is still crude in many ways, lacking useful features such as HTML output. Visualization and analysis are missing as well. If you’re interested in seeing if you can help, head over to the GitHub repository for glucomerutils. Also needed are details on protocols used by different devices; [Flameeyes] has only been able to reverse-engineer the protocols of meters he owns.

Speaking of glucometers, there is a project for a Universal Glucometer which aims to be able to use test strips from any manufacturer without needing to purchase a different meter.

Thanks for the tip, [Stuart]!

Rigol WFM viewer ported for non-Windows users


[Matthias Blaicher] may think this isn’t a big deal when it comes to the amount of work he put into the hack. But for us, anything that extends the functionality of the versatile yet affordable Rigol DS1052E is a win. In this case he’s taken a previous hack and made it work for more people by extending the functionality of the WFM file format viewer.

[Dexter2048] pulled off the original hack which allows this oscilloscope to be used as a spectrum analyzer. [Matthias] didn’t want the tool to be limited to running only on Windows systems so he got to work. This isn’t quite as easy as sounds because the only part of the original code that was released is the parser itself. [Matthias] had to build everything up from that starting point. His software uses standard Python to parse the WFM file and reformat the data. The features included in the current version allow you to export data as a CSV file and even plot the waveform and FFT as seen above.